{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "cfa8674d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d954001",
   "metadata": {},
   "source": [
    "# 读取之前处理完的数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7fc008cc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>COMPANY_NAME</th>\n",
       "      <th>BUDGET</th>\n",
       "      <th>BID_AMOUNT</th>\n",
       "      <th>BINGO_AMOUNT</th>\n",
       "      <th>IS_LOST</th>\n",
       "      <th>WIN_PRECENT</th>\n",
       "      <th>IS_WIN</th>\n",
       "      <th>BID_COUNT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>QUANTUM量子科学仪器贸易（北京）有限公司</td>\n",
       "      <td>7100000.00</td>\n",
       "      <td>7090000.00</td>\n",
       "      <td>7090000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>万享进贸通供应链（上海）有限公司</td>\n",
       "      <td>6600000.00</td>\n",
       "      <td>6500000.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>三六零数字安全科技集团有限公司</td>\n",
       "      <td>5165000.00</td>\n",
       "      <td>5115000.00</td>\n",
       "      <td>5115000.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>三合（北京）探测技术有限公司</td>\n",
       "      <td>7500000.00</td>\n",
       "      <td>6040000.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>2</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>三合（广州）探测技术有限公司</td>\n",
       "      <td>2460000.00</td>\n",
       "      <td>1840000.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2755</th>\n",
       "      <td>茂名市信宜建筑工程公司</td>\n",
       "      <td>4266651.74</td>\n",
       "      <td>3488519.81</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2756</th>\n",
       "      <td>阳江市源丰建设工程有限公司</td>\n",
       "      <td>74246.56</td>\n",
       "      <td>69325.65</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2757</th>\n",
       "      <td>韶关市住宅建筑工程有限公司</td>\n",
       "      <td>3004130.71</td>\n",
       "      <td>2436387.96</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2758</th>\n",
       "      <td>鹏湾营造集团有限公司</td>\n",
       "      <td>1250994.66</td>\n",
       "      <td>1025471.93</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2759</th>\n",
       "      <td>黑龙江恒电防雷工程有限公司</td>\n",
       "      <td>2304850.86</td>\n",
       "      <td>1060231.39</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2760 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 COMPANY_NAME      BUDGET  BID_AMOUNT  BINGO_AMOUNT  IS_LOST  \\\n",
       "0     QUANTUM量子科学仪器贸易（北京）有限公司  7100000.00  7090000.00     7090000.0        1   \n",
       "1            万享进贸通供应链（上海）有限公司  6600000.00  6500000.00           0.0        1   \n",
       "2             三六零数字安全科技集团有限公司  5165000.00  5115000.00     5115000.0        0   \n",
       "3              三合（北京）探测技术有限公司  7500000.00  6040000.00           0.0        1   \n",
       "4              三合（广州）探测技术有限公司  2460000.00  1840000.00           0.0        1   \n",
       "...                       ...         ...         ...           ...      ...   \n",
       "2755              茂名市信宜建筑工程公司  4266651.74  3488519.81           0.0        0   \n",
       "2756            阳江市源丰建设工程有限公司    74246.56    69325.65           0.0        0   \n",
       "2757            韶关市住宅建筑工程有限公司  3004130.71  2436387.96           0.0        0   \n",
       "2758               鹏湾营造集团有限公司  1250994.66  1025471.93           0.0        0   \n",
       "2759            黑龙江恒电防雷工程有限公司  2304850.86  1060231.39           0.0        0   \n",
       "\n",
       "      WIN_PRECENT  IS_WIN  BID_COUNT  \n",
       "0        0.500000       1        2.0  \n",
       "1        0.000000       0        1.0  \n",
       "2        1.000000       1        1.0  \n",
       "3        0.666667       2        3.0  \n",
       "4        0.000000       0        1.0  \n",
       "...           ...     ...        ...  \n",
       "2755    10.000000      10        0.0  \n",
       "2756     3.000000       3        0.0  \n",
       "2757     4.000000       4        0.0  \n",
       "2758     2.000000       2        0.0  \n",
       "2759     2.000000       2        0.0  \n",
       "\n",
       "[2760 rows x 8 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bidInfo = pd.read_csv('D:\\data\\处理后\\\\all.csv')\n",
    "bidInfo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "34ef20df",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BUDGET</th>\n",
       "      <th>BID_AMOUNT</th>\n",
       "      <th>BINGO_AMOUNT</th>\n",
       "      <th>IS_LOST</th>\n",
       "      <th>WIN_PRECENT</th>\n",
       "      <th>IS_WIN</th>\n",
       "      <th>BID_COUNT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>COMPANY_NAME</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>中国移动通信集团广东有限公司</th>\n",
       "      <td>4.697001e+08</td>\n",
       "      <td>4.669104e+08</td>\n",
       "      <td>4.669104e+08</td>\n",
       "      <td>5</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>1</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>中国人民解放军国防科技大学</th>\n",
       "      <td>4.000000e+08</td>\n",
       "      <td>3.983800e+08</td>\n",
       "      <td>3.983800e+08</td>\n",
       "      <td>0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>中科可控信息产业有限公司</th>\n",
       "      <td>4.000000e+08</td>\n",
       "      <td>3.995312e+08</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>烽火通信科技股份有限公司</th>\n",
       "      <td>4.000000e+08</td>\n",
       "      <td>3.906180e+08</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东省中科进出口有限公司</th>\n",
       "      <td>3.727447e+08</td>\n",
       "      <td>3.681475e+08</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>12</td>\n",
       "      <td>0.870968</td>\n",
       "      <td>81</td>\n",
       "      <td>93.0</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>海南鑫思路建筑工程有限公司</th>\n",
       "      <td>9.936359e+04</td>\n",
       "      <td>9.042000e+04</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>海南臣禹建筑工程有限公司</th>\n",
       "      <td>9.936359e+04</td>\n",
       "      <td>9.042000e+04</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东惠泽建设有限公司</th>\n",
       "      <td>7.424656e+04</td>\n",
       "      <td>6.932565e+04</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>阳江市源丰建设工程有限公司</th>\n",
       "      <td>7.424656e+04</td>\n",
       "      <td>6.932565e+04</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>海南中疆建设工程有限公司</th>\n",
       "      <td>6.110043e+04</td>\n",
       "      <td>4.889837e+04</td>\n",
       "      <td>4.889837e+04</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2589 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      BUDGET    BID_AMOUNT  BINGO_AMOUNT  IS_LOST  \\\n",
       "COMPANY_NAME                                                        \n",
       "中国移动通信集团广东有限公司  4.697001e+08  4.669104e+08  4.669104e+08        5   \n",
       "中国人民解放军国防科技大学   4.000000e+08  3.983800e+08  3.983800e+08        0   \n",
       "中科可控信息产业有限公司    4.000000e+08  3.995312e+08  0.000000e+00        1   \n",
       "烽火通信科技股份有限公司    4.000000e+08  3.906180e+08  0.000000e+00        1   \n",
       "广东省中科进出口有限公司    3.727447e+08  3.681475e+08  0.000000e+00       12   \n",
       "...                      ...           ...           ...      ...   \n",
       "海南鑫思路建筑工程有限公司   9.936359e+04  9.042000e+04  0.000000e+00        0   \n",
       "海南臣禹建筑工程有限公司    9.936359e+04  9.042000e+04  0.000000e+00        0   \n",
       "广东惠泽建设有限公司      7.424656e+04  6.932565e+04  0.000000e+00        0   \n",
       "阳江市源丰建设工程有限公司   7.424656e+04  6.932565e+04  0.000000e+00        0   \n",
       "海南中疆建设工程有限公司    6.110043e+04  4.889837e+04  4.889837e+04        1   \n",
       "\n",
       "                WIN_PRECENT  IS_WIN  BID_COUNT  \n",
       "COMPANY_NAME                                    \n",
       "中国移动通信集团广东有限公司     0.166667       1        6.0  \n",
       "中国人民解放军国防科技大学      1.000000       1        1.0  \n",
       "中科可控信息产业有限公司       0.000000       0        1.0  \n",
       "烽火通信科技股份有限公司       0.000000       0        1.0  \n",
       "广东省中科进出口有限公司       0.870968      81       93.0  \n",
       "...                     ...     ...        ...  \n",
       "海南鑫思路建筑工程有限公司      1.000000       1        0.0  \n",
       "海南臣禹建筑工程有限公司       1.000000       1        0.0  \n",
       "广东惠泽建设有限公司         3.000000       3        0.0  \n",
       "阳江市源丰建设工程有限公司      3.000000       3        0.0  \n",
       "海南中疆建设工程有限公司       0.000000       1        1.0  \n",
       "\n",
       "[2589 rows x 7 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bidInfoTmp=bidInfo.groupby(bidInfo['COMPANY_NAME']).sum()\n",
    " \n",
    "bidInfoTmp.sort_values('BUDGET',ascending=False)\n",
    "\n",
    "# 2589行数据 "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c866f842",
   "metadata": {},
   "source": [
    "# 数据中存在很多测试数据，需要删除"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "11572c74",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BUDGET</th>\n",
       "      <th>BID_AMOUNT</th>\n",
       "      <th>BINGO_AMOUNT</th>\n",
       "      <th>IS_LOST</th>\n",
       "      <th>WIN_PRECENT</th>\n",
       "      <th>IS_WIN</th>\n",
       "      <th>BID_COUNT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>COMPANY_NAME</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>压测供应商001</th>\n",
       "      <td>123321.0</td>\n",
       "      <td>120000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>压测供应商0010</th>\n",
       "      <td>123321.0</td>\n",
       "      <td>120000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>压测供应商00100</th>\n",
       "      <td>123321.0</td>\n",
       "      <td>120000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>压测供应商00101</th>\n",
       "      <td>123321.0</td>\n",
       "      <td>120000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>压测供应商0011</th>\n",
       "      <td>123321.0</td>\n",
       "      <td>120000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>压测供应商C0095</th>\n",
       "      <td>123321.0</td>\n",
       "      <td>120000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>压测供应商C0096</th>\n",
       "      <td>123321.0</td>\n",
       "      <td>120000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>压测供应商C0097</th>\n",
       "      <td>123321.0</td>\n",
       "      <td>120000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>压测供应商C0098</th>\n",
       "      <td>123321.0</td>\n",
       "      <td>120000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>压测供应商C0099</th>\n",
       "      <td>123321.0</td>\n",
       "      <td>120000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>401 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                BUDGET  BID_AMOUNT  BINGO_AMOUNT  IS_LOST  WIN_PRECENT  \\\n",
       "COMPANY_NAME                                                             \n",
       "压测供应商001      123321.0    120000.0           0.0        1          0.0   \n",
       "压测供应商0010     123321.0    120000.0           0.0        1          0.0   \n",
       "压测供应商00100    123321.0    120000.0           0.0        1          0.0   \n",
       "压测供应商00101    123321.0    120000.0           0.0        1          0.0   \n",
       "压测供应商0011     123321.0    120000.0           0.0        1          0.0   \n",
       "...                ...         ...           ...      ...          ...   \n",
       "压测供应商C0095    123321.0    120000.0           0.0        1          0.0   \n",
       "压测供应商C0096    123321.0    120000.0           0.0        1          0.0   \n",
       "压测供应商C0097    123321.0    120000.0           0.0        1          0.0   \n",
       "压测供应商C0098    123321.0    120000.0           0.0        1          0.0   \n",
       "压测供应商C0099    123321.0    120000.0           0.0        1          0.0   \n",
       "\n",
       "              IS_WIN  BID_COUNT  \n",
       "COMPANY_NAME                     \n",
       "压测供应商001           0        1.0  \n",
       "压测供应商0010          0        1.0  \n",
       "压测供应商00100         0        1.0  \n",
       "压测供应商00101         0        1.0  \n",
       "压测供应商0011          0        1.0  \n",
       "...              ...        ...  \n",
       "压测供应商C0095         0        1.0  \n",
       "压测供应商C0096         0        1.0  \n",
       "压测供应商C0097         0        1.0  \n",
       "压测供应商C0098         0        1.0  \n",
       "压测供应商C0099         0        1.0  \n",
       "\n",
       "[401 rows x 7 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# eDataTmp.sort_values('BUDGET',ascending=False)\n",
    "testData = bidInfoTmp.query('BUDGET==123321.0')\n",
    "testData"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "dddee820",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BUDGET</th>\n",
       "      <th>BID_AMOUNT</th>\n",
       "      <th>BINGO_AMOUNT</th>\n",
       "      <th>IS_LOST</th>\n",
       "      <th>WIN_PRECENT</th>\n",
       "      <th>IS_WIN</th>\n",
       "      <th>BID_COUNT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>COMPANY_NAME</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>QUANTUM量子科学仪器贸易（北京）有限公司</th>\n",
       "      <td>7100000.0</td>\n",
       "      <td>7090000.0</td>\n",
       "      <td>7090000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>万享进贸通供应链（上海）有限公司</th>\n",
       "      <td>6600000.0</td>\n",
       "      <td>6500000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>三六零数字安全科技集团有限公司</th>\n",
       "      <td>5165000.0</td>\n",
       "      <td>5115000.0</td>\n",
       "      <td>5115000.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>三合（北京）探测技术有限公司</th>\n",
       "      <td>7500000.0</td>\n",
       "      <td>6040000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>2</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>三合（广州）探测技术有限公司</th>\n",
       "      <td>2460000.0</td>\n",
       "      <td>1840000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>压测供应商C0095</th>\n",
       "      <td>123321.0</td>\n",
       "      <td>120000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>压测供应商C0096</th>\n",
       "      <td>123321.0</td>\n",
       "      <td>120000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>压测供应商C0097</th>\n",
       "      <td>123321.0</td>\n",
       "      <td>120000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>压测供应商C0098</th>\n",
       "      <td>123321.0</td>\n",
       "      <td>120000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>压测供应商C0099</th>\n",
       "      <td>123321.0</td>\n",
       "      <td>120000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2990 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            BUDGET  BID_AMOUNT  BINGO_AMOUNT  IS_LOST  \\\n",
       "COMPANY_NAME                                                            \n",
       "QUANTUM量子科学仪器贸易（北京）有限公司  7100000.0   7090000.0     7090000.0        1   \n",
       "万享进贸通供应链（上海）有限公司         6600000.0   6500000.0           0.0        1   \n",
       "三六零数字安全科技集团有限公司          5165000.0   5115000.0     5115000.0        0   \n",
       "三合（北京）探测技术有限公司           7500000.0   6040000.0           0.0        1   \n",
       "三合（广州）探测技术有限公司           2460000.0   1840000.0           0.0        1   \n",
       "...                            ...         ...           ...      ...   \n",
       "压测供应商C0095                123321.0    120000.0           0.0        1   \n",
       "压测供应商C0096                123321.0    120000.0           0.0        1   \n",
       "压测供应商C0097                123321.0    120000.0           0.0        1   \n",
       "压测供应商C0098                123321.0    120000.0           0.0        1   \n",
       "压测供应商C0099                123321.0    120000.0           0.0        1   \n",
       "\n",
       "                         WIN_PRECENT  IS_WIN  BID_COUNT  \n",
       "COMPANY_NAME                                             \n",
       "QUANTUM量子科学仪器贸易（北京）有限公司     0.500000       1        2.0  \n",
       "万享进贸通供应链（上海）有限公司            0.000000       0        1.0  \n",
       "三六零数字安全科技集团有限公司             1.000000       1        1.0  \n",
       "三合（北京）探测技术有限公司              0.666667       2        3.0  \n",
       "三合（广州）探测技术有限公司              0.000000       0        1.0  \n",
       "...                              ...     ...        ...  \n",
       "压测供应商C0095                  0.000000       0        1.0  \n",
       "压测供应商C0096                  0.000000       0        1.0  \n",
       "压测供应商C0097                  0.000000       0        1.0  \n",
       "压测供应商C0098                  0.000000       0        1.0  \n",
       "压测供应商C0099                  0.000000       0        1.0  \n",
       "\n",
       "[2990 rows x 7 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 2589 + 401 = 2990行\n",
    "tmp = pd.concat([bidInfoTmp,testData])\n",
    "tmp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8afceb5c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BUDGET</th>\n",
       "      <th>BID_AMOUNT</th>\n",
       "      <th>BINGO_AMOUNT</th>\n",
       "      <th>IS_LOST</th>\n",
       "      <th>WIN_PRECENT</th>\n",
       "      <th>IS_WIN</th>\n",
       "      <th>BID_COUNT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>COMPANY_NAME</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>QUANTUM量子科学仪器贸易（北京）有限公司</th>\n",
       "      <td>7.100000e+06</td>\n",
       "      <td>7.090000e+06</td>\n",
       "      <td>7090000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>三六零数字安全科技集团有限公司</th>\n",
       "      <td>5.165000e+06</td>\n",
       "      <td>5.115000e+06</td>\n",
       "      <td>5115000.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>三合（北京）探测技术有限公司</th>\n",
       "      <td>7.500000e+06</td>\n",
       "      <td>6.040000e+06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>2</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>三合（广州）探测技术有限公司</th>\n",
       "      <td>2.460000e+06</td>\n",
       "      <td>1.840000e+06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>三河市彤越光学科技有限公司</th>\n",
       "      <td>4.950000e+06</td>\n",
       "      <td>4.948000e+06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>黑龙江恒电防雷工程有限公司</th>\n",
       "      <td>2.304851e+06</td>\n",
       "      <td>1.060231e+06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>鼎尚（珠海）科技发展有限公司</th>\n",
       "      <td>1.750000e+06</td>\n",
       "      <td>1.729850e+06</td>\n",
       "      <td>1729850.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>鼎熙国讯科技有限公司</th>\n",
       "      <td>3.151780e+07</td>\n",
       "      <td>2.831034e+07</td>\n",
       "      <td>28310336.0</td>\n",
       "      <td>5</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>1</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>龙城城市运营服务集团有限公司</th>\n",
       "      <td>1.855340e+08</td>\n",
       "      <td>1.799594e+08</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>龙达建设（珠海）有限公司</th>\n",
       "      <td>3.252627e+07</td>\n",
       "      <td>2.780703e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2104 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                               BUDGET    BID_AMOUNT  BINGO_AMOUNT  IS_LOST  \\\n",
       "COMPANY_NAME                                                                 \n",
       "QUANTUM量子科学仪器贸易（北京）有限公司  7.100000e+06  7.090000e+06     7090000.0        1   \n",
       "三六零数字安全科技集团有限公司          5.165000e+06  5.115000e+06     5115000.0        0   \n",
       "三合（北京）探测技术有限公司           7.500000e+06  6.040000e+06           0.0        1   \n",
       "三合（广州）探测技术有限公司           2.460000e+06  1.840000e+06           0.0        1   \n",
       "三河市彤越光学科技有限公司            4.950000e+06  4.948000e+06           0.0        1   \n",
       "...                               ...           ...           ...      ...   \n",
       "黑龙江恒电防雷工程有限公司            2.304851e+06  1.060231e+06           0.0        0   \n",
       "鼎尚（珠海）科技发展有限公司           1.750000e+06  1.729850e+06     1729850.0        0   \n",
       "鼎熙国讯科技有限公司               3.151780e+07  2.831034e+07    28310336.0        5   \n",
       "龙城城市运营服务集团有限公司           1.855340e+08  1.799594e+08           0.0        1   \n",
       "龙达建设（珠海）有限公司             3.252627e+07  2.780703e+07           0.0        7   \n",
       "\n",
       "                         WIN_PRECENT  IS_WIN  BID_COUNT  \n",
       "COMPANY_NAME                                             \n",
       "QUANTUM量子科学仪器贸易（北京）有限公司     0.500000       1        2.0  \n",
       "三六零数字安全科技集团有限公司             1.000000       1        1.0  \n",
       "三合（北京）探测技术有限公司              0.666667       2        3.0  \n",
       "三合（广州）探测技术有限公司              0.000000       0        1.0  \n",
       "三河市彤越光学科技有限公司               0.000000       0        1.0  \n",
       "...                              ...     ...        ...  \n",
       "黑龙江恒电防雷工程有限公司               2.000000       2        0.0  \n",
       "鼎尚（珠海）科技发展有限公司              1.000000       1        1.0  \n",
       "鼎熙国讯科技有限公司                  0.166667       1        6.0  \n",
       "龙城城市运营服务集团有限公司              0.000000       0        1.0  \n",
       "龙达建设（珠海）有限公司                0.000000       0        7.0  \n",
       "\n",
       "[2104 rows x 7 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 删除重复行 2589 - 401 还有多的??\n",
    "bidInfoTmp=tmp.drop_duplicates(['BUDGET','BID_AMOUNT','BINGO_AMOUNT','IS_LOST','WIN_PRECENT','IS_WIN','BID_COUNT'],keep=False)\n",
    "bidInfoTmp"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f311efe",
   "metadata": {},
   "source": [
    "## 热力图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "5cc46ffa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BUDGET</th>\n",
       "      <th>BID_AMOUNT</th>\n",
       "      <th>BINGO_AMOUNT</th>\n",
       "      <th>IS_LOST</th>\n",
       "      <th>WIN_PRECENT</th>\n",
       "      <th>IS_WIN</th>\n",
       "      <th>BID_COUNT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2.104000e+03</td>\n",
       "      <td>2.104000e+03</td>\n",
       "      <td>2.104000e+03</td>\n",
       "      <td>2104.000000</td>\n",
       "      <td>2104.000000</td>\n",
       "      <td>2104.000000</td>\n",
       "      <td>2104.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1.803239e+07</td>\n",
       "      <td>1.520527e+07</td>\n",
       "      <td>2.547927e+06</td>\n",
       "      <td>3.506654</td>\n",
       "      <td>0.953690</td>\n",
       "      <td>1.306084</td>\n",
       "      <td>3.933278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.460057e+07</td>\n",
       "      <td>3.114810e+07</td>\n",
       "      <td>1.675388e+07</td>\n",
       "      <td>6.210980</td>\n",
       "      <td>3.406096</td>\n",
       "      <td>4.270618</td>\n",
       "      <td>6.525897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>6.110043e+04</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.400000e+06</td>\n",
       "      <td>1.975808e+06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4.650000e+06</td>\n",
       "      <td>4.016000e+06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.753000e+07</td>\n",
       "      <td>1.490335e+07</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>4.697001e+08</td>\n",
       "      <td>4.669104e+08</td>\n",
       "      <td>4.669104e+08</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>59.000000</td>\n",
       "      <td>81.000000</td>\n",
       "      <td>93.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             BUDGET    BID_AMOUNT  BINGO_AMOUNT      IS_LOST  WIN_PRECENT  \\\n",
       "count  2.104000e+03  2.104000e+03  2.104000e+03  2104.000000  2104.000000   \n",
       "mean   1.803239e+07  1.520527e+07  2.547927e+06     3.506654     0.953690   \n",
       "std    3.460057e+07  3.114810e+07  1.675388e+07     6.210980     3.406096   \n",
       "min    6.110043e+04  1.000000e+00  0.000000e+00     0.000000     0.000000   \n",
       "25%    2.400000e+06  1.975808e+06  0.000000e+00     1.000000     0.000000   \n",
       "50%    4.650000e+06  4.016000e+06  0.000000e+00     1.000000     0.000000   \n",
       "75%    1.753000e+07  1.490335e+07  0.000000e+00     3.000000     0.750000   \n",
       "max    4.697001e+08  4.669104e+08  4.669104e+08    42.000000    59.000000   \n",
       "\n",
       "            IS_WIN    BID_COUNT  \n",
       "count  2104.000000  2104.000000  \n",
       "mean      1.306084     3.933278  \n",
       "std       4.270618     6.525897  \n",
       "min       0.000000     0.000000  \n",
       "25%       0.000000     1.000000  \n",
       "50%       0.000000     1.000000  \n",
       "75%       1.000000     3.000000  \n",
       "max      81.000000    93.000000  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hm = bidInfoTmp.describe()\n",
    "hm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "53e49e79",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BUDGET</th>\n",
       "      <th>BID_AMOUNT</th>\n",
       "      <th>BINGO_AMOUNT</th>\n",
       "      <th>IS_LOST</th>\n",
       "      <th>WIN_PRECENT</th>\n",
       "      <th>IS_WIN</th>\n",
       "      <th>BID_COUNT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>BUDGET</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.999966</td>\n",
       "      <td>0.998873</td>\n",
       "      <td>-0.151334</td>\n",
       "      <td>-0.142736</td>\n",
       "      <td>-0.132505</td>\n",
       "      <td>-0.127465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BID_AMOUNT</th>\n",
       "      <td>0.999966</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.999224</td>\n",
       "      <td>-0.147936</td>\n",
       "      <td>-0.139320</td>\n",
       "      <td>-0.129082</td>\n",
       "      <td>-0.124045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BINGO_AMOUNT</th>\n",
       "      <td>0.998873</td>\n",
       "      <td>0.999224</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.130995</td>\n",
       "      <td>-0.122305</td>\n",
       "      <td>-0.112041</td>\n",
       "      <td>-0.107025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IS_LOST</th>\n",
       "      <td>-0.151334</td>\n",
       "      <td>-0.147936</td>\n",
       "      <td>-0.130995</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.999961</td>\n",
       "      <td>0.999817</td>\n",
       "      <td>0.999708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WIN_PRECENT</th>\n",
       "      <td>-0.142736</td>\n",
       "      <td>-0.139320</td>\n",
       "      <td>-0.122305</td>\n",
       "      <td>0.999961</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.999947</td>\n",
       "      <td>0.999881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IS_WIN</th>\n",
       "      <td>-0.132505</td>\n",
       "      <td>-0.129082</td>\n",
       "      <td>-0.112041</td>\n",
       "      <td>0.999817</td>\n",
       "      <td>0.999947</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.999987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BID_COUNT</th>\n",
       "      <td>-0.127465</td>\n",
       "      <td>-0.124045</td>\n",
       "      <td>-0.107025</td>\n",
       "      <td>0.999708</td>\n",
       "      <td>0.999881</td>\n",
       "      <td>0.999987</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                BUDGET  BID_AMOUNT  BINGO_AMOUNT   IS_LOST  WIN_PRECENT  \\\n",
       "BUDGET        1.000000    0.999966      0.998873 -0.151334    -0.142736   \n",
       "BID_AMOUNT    0.999966    1.000000      0.999224 -0.147936    -0.139320   \n",
       "BINGO_AMOUNT  0.998873    0.999224      1.000000 -0.130995    -0.122305   \n",
       "IS_LOST      -0.151334   -0.147936     -0.130995  1.000000     0.999961   \n",
       "WIN_PRECENT  -0.142736   -0.139320     -0.122305  0.999961     1.000000   \n",
       "IS_WIN       -0.132505   -0.129082     -0.112041  0.999817     0.999947   \n",
       "BID_COUNT    -0.127465   -0.124045     -0.107025  0.999708     0.999881   \n",
       "\n",
       "                IS_WIN  BID_COUNT  \n",
       "BUDGET       -0.132505  -0.127465  \n",
       "BID_AMOUNT   -0.129082  -0.124045  \n",
       "BINGO_AMOUNT -0.112041  -0.107025  \n",
       "IS_LOST       0.999817   0.999708  \n",
       "WIN_PRECENT   0.999947   0.999881  \n",
       "IS_WIN        1.000000   0.999987  \n",
       "BID_COUNT     0.999987   1.000000  "
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hm.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "c96166b6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(hm,linewidths=0.1,annot=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3efabce6",
   "metadata": {},
   "source": [
    "## 中标金额 VS 预算"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "0ddaac2c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BUDGET</th>\n",
       "      <th>BID_AMOUNT</th>\n",
       "      <th>BINGO_AMOUNT</th>\n",
       "      <th>IS_LOST</th>\n",
       "      <th>WIN_PRECENT</th>\n",
       "      <th>IS_WIN</th>\n",
       "      <th>BID_COUNT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>COMPANY_NAME</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>广东雄业建设工程有限公司</th>\n",
       "      <td>5.048807e+06</td>\n",
       "      <td>4.191254e+06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东腾信建设工程有限公司</th>\n",
       "      <td>6.347237e+06</td>\n",
       "      <td>5.398793e+06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>9</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东联谊建筑工程有限公司</th>\n",
       "      <td>7.530000e+05</td>\n",
       "      <td>6.438150e+05</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东耀恒建设工程有限公司</th>\n",
       "      <td>5.749563e+07</td>\n",
       "      <td>4.833167e+07</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>17</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东维正科技有限公司</th>\n",
       "      <td>2.550000e+06</td>\n",
       "      <td>2.541500e+06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东名宇建筑工程有限公司</th>\n",
       "      <td>1.119832e+08</td>\n",
       "      <td>9.779301e+07</td>\n",
       "      <td>9.537722e+07</td>\n",
       "      <td>31</td>\n",
       "      <td>3.031250</td>\n",
       "      <td>4</td>\n",
       "      <td>32.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东宝泰森建设工程有限公司</th>\n",
       "      <td>1.325490e+08</td>\n",
       "      <td>1.156693e+08</td>\n",
       "      <td>1.156693e+08</td>\n",
       "      <td>9</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>1</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>珠海市丹田物业管理股份有限公司</th>\n",
       "      <td>1.855340e+08</td>\n",
       "      <td>1.768986e+08</td>\n",
       "      <td>1.768986e+08</td>\n",
       "      <td>0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>中国人民解放军国防科技大学</th>\n",
       "      <td>4.000000e+08</td>\n",
       "      <td>3.983800e+08</td>\n",
       "      <td>3.983800e+08</td>\n",
       "      <td>0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>中国移动通信集团广东有限公司</th>\n",
       "      <td>4.697001e+08</td>\n",
       "      <td>4.669104e+08</td>\n",
       "      <td>4.669104e+08</td>\n",
       "      <td>5</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>1</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>749 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                       BUDGET    BID_AMOUNT  BINGO_AMOUNT  IS_LOST  \\\n",
       "COMPANY_NAME                                                         \n",
       "广东雄业建设工程有限公司     5.048807e+06  4.191254e+06  0.000000e+00        1   \n",
       "广东腾信建设工程有限公司     6.347237e+06  5.398793e+06  0.000000e+00        1   \n",
       "广东联谊建筑工程有限公司     7.530000e+05  6.438150e+05  0.000000e+00        0   \n",
       "广东耀恒建设工程有限公司     5.749563e+07  4.833167e+07  0.000000e+00       17   \n",
       "广东维正科技有限公司       2.550000e+06  2.541500e+06  0.000000e+00        0   \n",
       "...                       ...           ...           ...      ...   \n",
       "广东名宇建筑工程有限公司     1.119832e+08  9.779301e+07  9.537722e+07       31   \n",
       "广东宝泰森建设工程有限公司    1.325490e+08  1.156693e+08  1.156693e+08        9   \n",
       "珠海市丹田物业管理股份有限公司  1.855340e+08  1.768986e+08  1.768986e+08        0   \n",
       "中国人民解放军国防科技大学    4.000000e+08  3.983800e+08  3.983800e+08        0   \n",
       "中国移动通信集团广东有限公司   4.697001e+08  4.669104e+08  4.669104e+08        5   \n",
       "\n",
       "                 WIN_PRECENT  IS_WIN  BID_COUNT  \n",
       "COMPANY_NAME                                     \n",
       "广东雄业建设工程有限公司        3.000000       3        1.0  \n",
       "广东腾信建设工程有限公司        9.000000       9        1.0  \n",
       "广东联谊建筑工程有限公司        1.000000       1        0.0  \n",
       "广东耀恒建设工程有限公司        5.000000       5       17.0  \n",
       "广东维正科技有限公司          1.000000       2        2.0  \n",
       "...                      ...     ...        ...  \n",
       "广东名宇建筑工程有限公司        3.031250       4       32.0  \n",
       "广东宝泰森建设工程有限公司       0.100000       1       10.0  \n",
       "珠海市丹田物业管理股份有限公司     1.000000       1        1.0  \n",
       "中国人民解放军国防科技大学       1.000000       1        1.0  \n",
       "中国移动通信集团广东有限公司      0.166667       1        6.0  \n",
       "\n",
       "[749 rows x 7 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "map1 = bidInfoTmp.query('IS_WIN>0')\n",
    "map1.sort_values('BINGO_AMOUNT',ascending=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "18a53f92",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x205cfbf1690>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(x=map1['BUDGET'],\n",
    "              y=map1['BINGO_AMOUNT'],\n",
    "              kind='reg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "5fea741e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BUDGET</th>\n",
       "      <th>BID_AMOUNT</th>\n",
       "      <th>BINGO_AMOUNT</th>\n",
       "      <th>IS_LOST</th>\n",
       "      <th>WIN_PRECENT</th>\n",
       "      <th>IS_WIN</th>\n",
       "      <th>BID_COUNT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>COMPANY_NAME</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>QUANTUM量子科学仪器贸易（北京）有限公司</th>\n",
       "      <td>7100000.00</td>\n",
       "      <td>7090000.00</td>\n",
       "      <td>7090000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>三六零数字安全科技集团有限公司</th>\n",
       "      <td>5165000.00</td>\n",
       "      <td>5115000.00</td>\n",
       "      <td>5115000.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>三合（北京）探测技术有限公司</th>\n",
       "      <td>7500000.00</td>\n",
       "      <td>6040000.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>2</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>三洋电梯（珠海）有限公司</th>\n",
       "      <td>3051975.00</td>\n",
       "      <td>2298000.00</td>\n",
       "      <td>2298000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>上海一坤电气工程有限公司</th>\n",
       "      <td>3173000.00</td>\n",
       "      <td>2629000.00</td>\n",
       "      <td>2629000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>青岛鲁芯仪器有限公司</th>\n",
       "      <td>3550000.00</td>\n",
       "      <td>3540000.00</td>\n",
       "      <td>3540000.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>韶关市住宅建筑工程有限公司</th>\n",
       "      <td>3004130.71</td>\n",
       "      <td>2436387.96</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>黑龙江恒电防雷工程有限公司</th>\n",
       "      <td>2304850.86</td>\n",
       "      <td>1060231.39</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>鼎尚（珠海）科技发展有限公司</th>\n",
       "      <td>1750000.00</td>\n",
       "      <td>1729850.00</td>\n",
       "      <td>1729850.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>鼎熙国讯科技有限公司</th>\n",
       "      <td>31517800.14</td>\n",
       "      <td>28310336.00</td>\n",
       "      <td>28310336.0</td>\n",
       "      <td>5</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>1</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>745 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                              BUDGET   BID_AMOUNT  BINGO_AMOUNT  IS_LOST  \\\n",
       "COMPANY_NAME                                                               \n",
       "QUANTUM量子科学仪器贸易（北京）有限公司   7100000.00   7090000.00     7090000.0        1   \n",
       "三六零数字安全科技集团有限公司           5165000.00   5115000.00     5115000.0        0   \n",
       "三合（北京）探测技术有限公司            7500000.00   6040000.00           0.0        1   \n",
       "三洋电梯（珠海）有限公司              3051975.00   2298000.00     2298000.0        1   \n",
       "上海一坤电气工程有限公司              3173000.00   2629000.00     2629000.0        1   \n",
       "...                              ...          ...           ...      ...   \n",
       "青岛鲁芯仪器有限公司                3550000.00   3540000.00     3540000.0        0   \n",
       "韶关市住宅建筑工程有限公司             3004130.71   2436387.96           0.0        0   \n",
       "黑龙江恒电防雷工程有限公司             2304850.86   1060231.39           0.0        0   \n",
       "鼎尚（珠海）科技发展有限公司            1750000.00   1729850.00     1729850.0        0   \n",
       "鼎熙国讯科技有限公司               31517800.14  28310336.00    28310336.0        5   \n",
       "\n",
       "                         WIN_PRECENT  IS_WIN  BID_COUNT  \n",
       "COMPANY_NAME                                             \n",
       "QUANTUM量子科学仪器贸易（北京）有限公司     0.500000       1        2.0  \n",
       "三六零数字安全科技集团有限公司             1.000000       1        1.0  \n",
       "三合（北京）探测技术有限公司              0.666667       2        3.0  \n",
       "三洋电梯（珠海）有限公司                0.500000       1        2.0  \n",
       "上海一坤电气工程有限公司                0.500000       1        2.0  \n",
       "...                              ...     ...        ...  \n",
       "青岛鲁芯仪器有限公司                  1.000000       1        1.0  \n",
       "韶关市住宅建筑工程有限公司               4.000000       4        0.0  \n",
       "黑龙江恒电防雷工程有限公司               2.000000       2        0.0  \n",
       "鼎尚（珠海）科技发展有限公司              1.000000       1        1.0  \n",
       "鼎熙国讯科技有限公司                  0.166667       1        6.0  \n",
       "\n",
       "[745 rows x 7 columns]"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#剔除那些预算超过两千万的，重新再分析\n",
    "\n",
    "map2=bidInfoTmp.query('BUDGET<200000000 & IS_WIN>0')\n",
    "map2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "2af2de74",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x235da94aa90>"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# map2=bidInfoTmp.query('BUDGET<50000000 & IS_WIN>0')\n",
    "sns.jointplot(x=map2['BUDGET'],\n",
    "              y=map2['BINGO_AMOUNT'],\n",
    "              kind='reg')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "79c7cc4c",
   "metadata": {},
   "source": [
    "## 计算中标金额和预算的差值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "8c06fcdf",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Administrator\\AppData\\Local\\Temp\\ipykernel_6416\\951769322.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  map2['DIFF'] = map2['BUDGET']-map2['BINGO_AMOUNT']\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BUDGET</th>\n",
       "      <th>BID_AMOUNT</th>\n",
       "      <th>BINGO_AMOUNT</th>\n",
       "      <th>IS_LOST</th>\n",
       "      <th>WIN_PRECENT</th>\n",
       "      <th>IS_WIN</th>\n",
       "      <th>BID_COUNT</th>\n",
       "      <th>DIFF</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>COMPANY_NAME</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>QUANTUM量子科学仪器贸易（北京）有限公司</th>\n",
       "      <td>7100000.00</td>\n",
       "      <td>7090000.00</td>\n",
       "      <td>7090000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>三六零数字安全科技集团有限公司</th>\n",
       "      <td>5165000.00</td>\n",
       "      <td>5115000.00</td>\n",
       "      <td>5115000.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>50000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>三合（北京）探测技术有限公司</th>\n",
       "      <td>7500000.00</td>\n",
       "      <td>6040000.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7500000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>三洋电梯（珠海）有限公司</th>\n",
       "      <td>3051975.00</td>\n",
       "      <td>2298000.00</td>\n",
       "      <td>2298000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>753975.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>上海一坤电气工程有限公司</th>\n",
       "      <td>3173000.00</td>\n",
       "      <td>2629000.00</td>\n",
       "      <td>2629000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>544000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>青岛鲁芯仪器有限公司</th>\n",
       "      <td>3550000.00</td>\n",
       "      <td>3540000.00</td>\n",
       "      <td>3540000.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>韶关市住宅建筑工程有限公司</th>\n",
       "      <td>3004130.71</td>\n",
       "      <td>2436387.96</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3004130.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>黑龙江恒电防雷工程有限公司</th>\n",
       "      <td>2304850.86</td>\n",
       "      <td>1060231.39</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2304850.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>鼎尚（珠海）科技发展有限公司</th>\n",
       "      <td>1750000.00</td>\n",
       "      <td>1729850.00</td>\n",
       "      <td>1729850.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>20150.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>鼎熙国讯科技有限公司</th>\n",
       "      <td>31517800.14</td>\n",
       "      <td>28310336.00</td>\n",
       "      <td>28310336.0</td>\n",
       "      <td>5</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>1</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3207464.14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>586 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                              BUDGET   BID_AMOUNT  BINGO_AMOUNT  IS_LOST  \\\n",
       "COMPANY_NAME                                                               \n",
       "QUANTUM量子科学仪器贸易（北京）有限公司   7100000.00   7090000.00     7090000.0        1   \n",
       "三六零数字安全科技集团有限公司           5165000.00   5115000.00     5115000.0        0   \n",
       "三合（北京）探测技术有限公司            7500000.00   6040000.00           0.0        1   \n",
       "三洋电梯（珠海）有限公司              3051975.00   2298000.00     2298000.0        1   \n",
       "上海一坤电气工程有限公司              3173000.00   2629000.00     2629000.0        1   \n",
       "...                              ...          ...           ...      ...   \n",
       "青岛鲁芯仪器有限公司                3550000.00   3540000.00     3540000.0        0   \n",
       "韶关市住宅建筑工程有限公司             3004130.71   2436387.96           0.0        0   \n",
       "黑龙江恒电防雷工程有限公司             2304850.86   1060231.39           0.0        0   \n",
       "鼎尚（珠海）科技发展有限公司            1750000.00   1729850.00     1729850.0        0   \n",
       "鼎熙国讯科技有限公司               31517800.14  28310336.00    28310336.0        5   \n",
       "\n",
       "                         WIN_PRECENT  IS_WIN  BID_COUNT        DIFF  \n",
       "COMPANY_NAME                                                         \n",
       "QUANTUM量子科学仪器贸易（北京）有限公司     0.500000       1        2.0    10000.00  \n",
       "三六零数字安全科技集团有限公司             1.000000       1        1.0    50000.00  \n",
       "三合（北京）探测技术有限公司              0.666667       2        3.0  7500000.00  \n",
       "三洋电梯（珠海）有限公司                0.500000       1        2.0   753975.00  \n",
       "上海一坤电气工程有限公司                0.500000       1        2.0   544000.00  \n",
       "...                              ...     ...        ...         ...  \n",
       "青岛鲁芯仪器有限公司                  1.000000       1        1.0    10000.00  \n",
       "韶关市住宅建筑工程有限公司               4.000000       4        0.0  3004130.71  \n",
       "黑龙江恒电防雷工程有限公司               2.000000       2        0.0  2304850.86  \n",
       "鼎尚（珠海）科技发展有限公司              1.000000       1        1.0    20150.00  \n",
       "鼎熙国讯科技有限公司                  0.166667       1        6.0  3207464.14  \n",
       "\n",
       "[586 rows x 8 columns]"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "map2['DIFF'] = map2['BUDGET']-map2['BINGO_AMOUNT']\n",
    "map2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "e51783d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BUDGET</th>\n",
       "      <th>BID_AMOUNT</th>\n",
       "      <th>BINGO_AMOUNT</th>\n",
       "      <th>IS_LOST</th>\n",
       "      <th>WIN_PRECENT</th>\n",
       "      <th>IS_WIN</th>\n",
       "      <th>BID_COUNT</th>\n",
       "      <th>DIFF</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5.860000e+02</td>\n",
       "      <td>5.860000e+02</td>\n",
       "      <td>5.860000e+02</td>\n",
       "      <td>586.000000</td>\n",
       "      <td>586.000000</td>\n",
       "      <td>586.000000</td>\n",
       "      <td>586.000000</td>\n",
       "      <td>5.860000e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>9.513710e+06</td>\n",
       "      <td>8.029799e+06</td>\n",
       "      <td>3.148891e+06</td>\n",
       "      <td>1.573379</td>\n",
       "      <td>1.726192</td>\n",
       "      <td>2.474403</td>\n",
       "      <td>2.734161</td>\n",
       "      <td>6.364818e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.147015e+07</td>\n",
       "      <td>9.898781e+06</td>\n",
       "      <td>5.892673e+06</td>\n",
       "      <td>2.969171</td>\n",
       "      <td>3.973732</td>\n",
       "      <td>4.585767</td>\n",
       "      <td>3.112032</td>\n",
       "      <td>1.137348e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>6.110043e+04</td>\n",
       "      <td>3.500000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-3.888925e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.031726e+06</td>\n",
       "      <td>1.726962e+06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.557805e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4.300000e+06</td>\n",
       "      <td>3.743500e+06</td>\n",
       "      <td>1.289400e+06</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.911447e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.222000e+07</td>\n",
       "      <td>1.031490e+07</td>\n",
       "      <td>3.637768e+06</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>6.899989e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>4.911600e+07</td>\n",
       "      <td>4.682360e+07</td>\n",
       "      <td>4.629480e+07</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>59.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>4.908591e+07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             BUDGET    BID_AMOUNT  BINGO_AMOUNT     IS_LOST  WIN_PRECENT  \\\n",
       "count  5.860000e+02  5.860000e+02  5.860000e+02  586.000000   586.000000   \n",
       "mean   9.513710e+06  8.029799e+06  3.148891e+06    1.573379     1.726192   \n",
       "std    1.147015e+07  9.898781e+06  5.892673e+06    2.969171     3.973732   \n",
       "min    6.110043e+04  3.500000e+00  0.000000e+00    0.000000     0.000000   \n",
       "25%    2.031726e+06  1.726962e+06  0.000000e+00    0.000000     0.500000   \n",
       "50%    4.300000e+06  3.743500e+06  1.289400e+06    0.000000     1.000000   \n",
       "75%    1.222000e+07  1.031490e+07  3.637768e+06    2.000000     1.000000   \n",
       "max    4.911600e+07  4.682360e+07  4.629480e+07   16.000000    59.000000   \n",
       "\n",
       "           IS_WIN   BID_COUNT          DIFF  \n",
       "count  586.000000  586.000000  5.860000e+02  \n",
       "mean     2.474403    2.734161  6.364818e+06  \n",
       "std      4.585767    3.112032  1.137348e+07  \n",
       "min      1.000000    0.000000 -3.888925e+05  \n",
       "25%      1.000000    1.000000  2.557805e+04  \n",
       "50%      1.000000    2.000000  3.911447e+05  \n",
       "75%      2.000000    3.000000  6.899989e+06  \n",
       "max     72.000000   20.000000  4.908591e+07  "
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "map2.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "95128b05",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BUDGET</th>\n",
       "      <th>BID_AMOUNT</th>\n",
       "      <th>BINGO_AMOUNT</th>\n",
       "      <th>IS_LOST</th>\n",
       "      <th>WIN_PRECENT</th>\n",
       "      <th>IS_WIN</th>\n",
       "      <th>BID_COUNT</th>\n",
       "      <th>DIFF</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>BUDGET</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.906848</td>\n",
       "      <td>0.273206</td>\n",
       "      <td>0.687138</td>\n",
       "      <td>0.173730</td>\n",
       "      <td>0.253577</td>\n",
       "      <td>0.760916</td>\n",
       "      <td>0.866950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BID_AMOUNT</th>\n",
       "      <td>0.906848</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.338964</td>\n",
       "      <td>0.577489</td>\n",
       "      <td>0.158405</td>\n",
       "      <td>0.242064</td>\n",
       "      <td>0.672640</td>\n",
       "      <td>0.738936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BINGO_AMOUNT</th>\n",
       "      <td>0.273206</td>\n",
       "      <td>0.338964</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.056971</td>\n",
       "      <td>-0.095410</td>\n",
       "      <td>-0.120916</td>\n",
       "      <td>0.017551</td>\n",
       "      <td>-0.242579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IS_LOST</th>\n",
       "      <td>0.687138</td>\n",
       "      <td>0.577489</td>\n",
       "      <td>0.056971</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.371250</td>\n",
       "      <td>0.407467</td>\n",
       "      <td>0.862439</td>\n",
       "      <td>0.663461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WIN_PRECENT</th>\n",
       "      <td>0.173730</td>\n",
       "      <td>0.158405</td>\n",
       "      <td>-0.095410</td>\n",
       "      <td>0.371250</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.954066</td>\n",
       "      <td>0.087079</td>\n",
       "      <td>0.224639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IS_WIN</th>\n",
       "      <td>0.253577</td>\n",
       "      <td>0.242064</td>\n",
       "      <td>-0.120916</td>\n",
       "      <td>0.407467</td>\n",
       "      <td>0.954066</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.208126</td>\n",
       "      <td>0.318380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BID_COUNT</th>\n",
       "      <td>0.760916</td>\n",
       "      <td>0.672640</td>\n",
       "      <td>0.017551</td>\n",
       "      <td>0.862439</td>\n",
       "      <td>0.087079</td>\n",
       "      <td>0.208126</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.758290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DIFF</th>\n",
       "      <td>0.866950</td>\n",
       "      <td>0.738936</td>\n",
       "      <td>-0.242579</td>\n",
       "      <td>0.663461</td>\n",
       "      <td>0.224639</td>\n",
       "      <td>0.318380</td>\n",
       "      <td>0.758290</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                BUDGET  BID_AMOUNT  BINGO_AMOUNT   IS_LOST  WIN_PRECENT  \\\n",
       "BUDGET        1.000000    0.906848      0.273206  0.687138     0.173730   \n",
       "BID_AMOUNT    0.906848    1.000000      0.338964  0.577489     0.158405   \n",
       "BINGO_AMOUNT  0.273206    0.338964      1.000000  0.056971    -0.095410   \n",
       "IS_LOST       0.687138    0.577489      0.056971  1.000000     0.371250   \n",
       "WIN_PRECENT   0.173730    0.158405     -0.095410  0.371250     1.000000   \n",
       "IS_WIN        0.253577    0.242064     -0.120916  0.407467     0.954066   \n",
       "BID_COUNT     0.760916    0.672640      0.017551  0.862439     0.087079   \n",
       "DIFF          0.866950    0.738936     -0.242579  0.663461     0.224639   \n",
       "\n",
       "                IS_WIN  BID_COUNT      DIFF  \n",
       "BUDGET        0.253577   0.760916  0.866950  \n",
       "BID_AMOUNT    0.242064   0.672640  0.738936  \n",
       "BINGO_AMOUNT -0.120916   0.017551 -0.242579  \n",
       "IS_LOST       0.407467   0.862439  0.663461  \n",
       "WIN_PRECENT   0.954066   0.087079  0.224639  \n",
       "IS_WIN        1.000000   0.208126  0.318380  \n",
       "BID_COUNT     0.208126   1.000000  0.758290  \n",
       "DIFF          0.318380   0.758290  1.000000  "
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "map2.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "756f6031",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x235e5f6cc90>"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(x=map2['BUDGET'],\n",
    "              y=map2['DIFF'],\n",
    "              kind='reg')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca26a0bd",
   "metadata": {},
   "source": [
    "## 中标次数与投标次数的关系"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "29a793e4",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "F:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\axisgrid.py:2214: UserWarning: The marginal plotting function has changed to `histplot`, which does not accept the following argument(s): rug.\n",
      "  warnings.warn(msg, UserWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x205da6c3990>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# _bidInfoTmp=bidInfoTmp.query('IS_WIN>0 & BID_COUNT<60')\n",
    "\n",
    "sns.jointplot(x=bidInfoTmp['BID_COUNT'],\n",
    "              y=bidInfoTmp['IS_WIN'],\n",
    "              marginal_kws = dict(bins=20, rug =True), #设置柱状图箱数，是否设置rug\n",
    "              kind='reg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "fe1b6273",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "F:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\axisgrid.py:2214: UserWarning: The marginal plotting function has changed to `histplot`, which does not accept the following argument(s): rug.\n",
      "  warnings.warn(msg, UserWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x205da9c0e90>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# _bidInfoTmp=bidInfoTmp.query('IS_WIN>0 & BID_COUNT<60')\n",
    "\n",
    "tmp = bidInfoTmp.query('BID_COUNT<60')\n",
    "\n",
    "sns.jointplot(x=tmp['BID_COUNT'],\n",
    "              y=tmp['IS_WIN'],\n",
    "              marginal_kws = dict(bins=20, rug =True), #设置柱状图箱数，是否设置rug\n",
    "              kind='reg')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1690fb1f",
   "metadata": {},
   "source": [
    "## 投标次数VS中标率"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "a092cf0f",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x235f6a37e50>"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(x=bidInfoTmp['BID_COUNT'],\n",
    "              y=bidInfoTmp['WIN_PRECENT'],\n",
    "              kind='reg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "863c76b3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x205db388990>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tmp = bidInfoTmp.query('BID_COUNT<60')\n",
    "sns.jointplot(x=tmp['BID_COUNT'],\n",
    "              y=tmp['WIN_PRECENT'],\n",
    "              kind='reg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "08f6149e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "F:\\ProgramData\\anaconda3\\Lib\\site-packages\\seaborn\\axisgrid.py:118: UserWarning: The figure layout has changed to tight\n",
      "  self._figure.tight_layout(*args, **kwargs)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x235f634cad0>"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1750x1750 with 56 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(bidInfoTmp)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dcb9fe25",
   "metadata": {},
   "source": [
    "## 投标之最"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4a6611d5",
   "metadata": {},
   "source": [
    "### 投标次数 TOP 20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "40e0347a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BUDGET</th>\n",
       "      <th>BID_AMOUNT</th>\n",
       "      <th>BINGO_AMOUNT</th>\n",
       "      <th>IS_LOST</th>\n",
       "      <th>WIN_PRECENT</th>\n",
       "      <th>IS_WIN</th>\n",
       "      <th>BID_COUNT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>COMPANY_NAME</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>广东省中科进出口有限公司</th>\n",
       "      <td>3.727447e+08</td>\n",
       "      <td>3.681475e+08</td>\n",
       "      <td>0.00</td>\n",
       "      <td>12</td>\n",
       "      <td>0.870968</td>\n",
       "      <td>81</td>\n",
       "      <td>93.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东省建筑装饰集团公司</th>\n",
       "      <td>2.124904e+08</td>\n",
       "      <td>1.825935e+08</td>\n",
       "      <td>0.00</td>\n",
       "      <td>37</td>\n",
       "      <td>2.139535</td>\n",
       "      <td>8</td>\n",
       "      <td>43.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东中余建设集团有限公司</th>\n",
       "      <td>1.721572e+08</td>\n",
       "      <td>1.445464e+08</td>\n",
       "      <td>797395.31</td>\n",
       "      <td>42</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>21</td>\n",
       "      <td>41.047619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>深圳荣冠优品工程有限公司</th>\n",
       "      <td>1.584023e+08</td>\n",
       "      <td>1.201781e+08</td>\n",
       "      <td>1419577.40</td>\n",
       "      <td>38</td>\n",
       "      <td>21.054054</td>\n",
       "      <td>26</td>\n",
       "      <td>37.125000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东长博建设工程有限公司</th>\n",
       "      <td>1.324755e+08</td>\n",
       "      <td>9.548820e+07</td>\n",
       "      <td>88751263.99</td>\n",
       "      <td>34</td>\n",
       "      <td>10.028571</td>\n",
       "      <td>11</td>\n",
       "      <td>35.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东建凯建设有限公司</th>\n",
       "      <td>1.155099e+08</td>\n",
       "      <td>9.600698e+07</td>\n",
       "      <td>87091454.98</td>\n",
       "      <td>35</td>\n",
       "      <td>14.029412</td>\n",
       "      <td>17</td>\n",
       "      <td>34.125000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东晟强建设工程有限公司</th>\n",
       "      <td>1.253742e+08</td>\n",
       "      <td>1.058395e+08</td>\n",
       "      <td>537570.42</td>\n",
       "      <td>36</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>23</td>\n",
       "      <td>34.086957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广州天翔建设工程有限公司</th>\n",
       "      <td>1.408346e+08</td>\n",
       "      <td>1.213537e+08</td>\n",
       "      <td>0.00</td>\n",
       "      <td>32</td>\n",
       "      <td>1.058824</td>\n",
       "      <td>3</td>\n",
       "      <td>34.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>深圳市欣和建设工程有限公司</th>\n",
       "      <td>1.902769e+08</td>\n",
       "      <td>8.793615e+07</td>\n",
       "      <td>1037053.25</td>\n",
       "      <td>35</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>11</td>\n",
       "      <td>33.181818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东建华装饰工程有限公司</th>\n",
       "      <td>1.377969e+08</td>\n",
       "      <td>1.173309e+08</td>\n",
       "      <td>117405.93</td>\n",
       "      <td>34</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>21</td>\n",
       "      <td>33.047619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东裕兆丰建设有限公司</th>\n",
       "      <td>1.169446e+08</td>\n",
       "      <td>1.015198e+08</td>\n",
       "      <td>0.00</td>\n",
       "      <td>33</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5</td>\n",
       "      <td>33.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广州一城建筑工程有限公司</th>\n",
       "      <td>1.375836e+08</td>\n",
       "      <td>1.150527e+08</td>\n",
       "      <td>0.00</td>\n",
       "      <td>28</td>\n",
       "      <td>4.125000</td>\n",
       "      <td>8</td>\n",
       "      <td>32.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东宇晟建设工程有限公司</th>\n",
       "      <td>1.131737e+08</td>\n",
       "      <td>9.931284e+07</td>\n",
       "      <td>0.00</td>\n",
       "      <td>32</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4</td>\n",
       "      <td>32.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东名宇建筑工程有限公司</th>\n",
       "      <td>1.119832e+08</td>\n",
       "      <td>9.779301e+07</td>\n",
       "      <td>95377219.38</td>\n",
       "      <td>31</td>\n",
       "      <td>3.031250</td>\n",
       "      <td>4</td>\n",
       "      <td>32.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东国优建设有限公司</th>\n",
       "      <td>1.154022e+08</td>\n",
       "      <td>9.932173e+07</td>\n",
       "      <td>232852.48</td>\n",
       "      <td>32</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>21</td>\n",
       "      <td>31.047619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东品峰建设工程有限公司</th>\n",
       "      <td>1.103022e+08</td>\n",
       "      <td>9.288795e+07</td>\n",
       "      <td>90472156.09</td>\n",
       "      <td>30</td>\n",
       "      <td>3.032258</td>\n",
       "      <td>4</td>\n",
       "      <td>31.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>深圳市广富源建设工程有限公司</th>\n",
       "      <td>1.177942e+08</td>\n",
       "      <td>9.915090e+07</td>\n",
       "      <td>0.00</td>\n",
       "      <td>31</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>24</td>\n",
       "      <td>31.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东德森旺建设工程有限公司</th>\n",
       "      <td>1.548070e+08</td>\n",
       "      <td>1.322350e+08</td>\n",
       "      <td>0.00</td>\n",
       "      <td>29</td>\n",
       "      <td>6.064516</td>\n",
       "      <td>8</td>\n",
       "      <td>31.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广州市华汕建设工程有限公司</th>\n",
       "      <td>1.099307e+08</td>\n",
       "      <td>9.149996e+07</td>\n",
       "      <td>0.00</td>\n",
       "      <td>31</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>12</td>\n",
       "      <td>31.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东鑫越建设工程有限公司</th>\n",
       "      <td>1.068861e+08</td>\n",
       "      <td>8.837192e+07</td>\n",
       "      <td>1374730.79</td>\n",
       "      <td>33</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>34</td>\n",
       "      <td>30.088235</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      BUDGET    BID_AMOUNT  BINGO_AMOUNT  IS_LOST  \\\n",
       "COMPANY_NAME                                                        \n",
       "广东省中科进出口有限公司    3.727447e+08  3.681475e+08          0.00       12   \n",
       "广东省建筑装饰集团公司     2.124904e+08  1.825935e+08          0.00       37   \n",
       "广东中余建设集团有限公司    1.721572e+08  1.445464e+08     797395.31       42   \n",
       "深圳荣冠优品工程有限公司    1.584023e+08  1.201781e+08    1419577.40       38   \n",
       "广东长博建设工程有限公司    1.324755e+08  9.548820e+07   88751263.99       34   \n",
       "广东建凯建设有限公司      1.155099e+08  9.600698e+07   87091454.98       35   \n",
       "广东晟强建设工程有限公司    1.253742e+08  1.058395e+08     537570.42       36   \n",
       "广州天翔建设工程有限公司    1.408346e+08  1.213537e+08          0.00       32   \n",
       "深圳市欣和建设工程有限公司   1.902769e+08  8.793615e+07    1037053.25       35   \n",
       "广东建华装饰工程有限公司    1.377969e+08  1.173309e+08     117405.93       34   \n",
       "广东裕兆丰建设有限公司     1.169446e+08  1.015198e+08          0.00       33   \n",
       "广州一城建筑工程有限公司    1.375836e+08  1.150527e+08          0.00       28   \n",
       "广东宇晟建设工程有限公司    1.131737e+08  9.931284e+07          0.00       32   \n",
       "广东名宇建筑工程有限公司    1.119832e+08  9.779301e+07   95377219.38       31   \n",
       "广东国优建设有限公司      1.154022e+08  9.932173e+07     232852.48       32   \n",
       "广东品峰建设工程有限公司    1.103022e+08  9.288795e+07   90472156.09       30   \n",
       "深圳市广富源建设工程有限公司  1.177942e+08  9.915090e+07          0.00       31   \n",
       "广东德森旺建设工程有限公司   1.548070e+08  1.322350e+08          0.00       29   \n",
       "广州市华汕建设工程有限公司   1.099307e+08  9.149996e+07          0.00       31   \n",
       "广东鑫越建设工程有限公司    1.068861e+08  8.837192e+07    1374730.79       33   \n",
       "\n",
       "                WIN_PRECENT  IS_WIN  BID_COUNT  \n",
       "COMPANY_NAME                                    \n",
       "广东省中科进出口有限公司       0.870968      81  93.000000  \n",
       "广东省建筑装饰集团公司        2.139535       8  43.000000  \n",
       "广东中余建设集团有限公司      20.000000      21  41.047619  \n",
       "深圳荣冠优品工程有限公司      21.054054      26  37.125000  \n",
       "广东长博建设工程有限公司      10.028571      11  35.000000  \n",
       "广东建凯建设有限公司        14.029412      17  34.125000  \n",
       "广东晟强建设工程有限公司      21.000000      23  34.086957  \n",
       "广州天翔建设工程有限公司       1.058824       3  34.000000  \n",
       "深圳市欣和建设工程有限公司      9.000000      11  33.181818  \n",
       "广东建华装饰工程有限公司      20.000000      21  33.047619  \n",
       "广东裕兆丰建设有限公司        5.000000       5  33.000000  \n",
       "广州一城建筑工程有限公司       4.125000       8  32.000000  \n",
       "广东宇晟建设工程有限公司       4.000000       4  32.000000  \n",
       "广东名宇建筑工程有限公司       3.031250       4  32.000000  \n",
       "广东国优建设有限公司        20.000000      21  31.047619  \n",
       "广东品峰建设工程有限公司       3.032258       4  31.000000  \n",
       "深圳市广富源建设工程有限公司    24.000000      24  31.000000  \n",
       "广东德森旺建设工程有限公司      6.064516       8  31.000000  \n",
       "广州市华汕建设工程有限公司     12.000000      12  31.000000  \n",
       "广东鑫越建设工程有限公司      31.000000      34  30.088235  "
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bidInfoTmp.sort_values('BID_COUNT',ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "350c122c",
   "metadata": {},
   "source": [
    "### 中标次数 TOP 20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "19046d7e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BUDGET</th>\n",
       "      <th>BID_AMOUNT</th>\n",
       "      <th>BINGO_AMOUNT</th>\n",
       "      <th>IS_LOST</th>\n",
       "      <th>WIN_PRECENT</th>\n",
       "      <th>IS_WIN</th>\n",
       "      <th>BID_COUNT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>COMPANY_NAME</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>广东省中科进出口有限公司</th>\n",
       "      <td>3.727447e+08</td>\n",
       "      <td>3.681475e+08</td>\n",
       "      <td>0.00</td>\n",
       "      <td>12</td>\n",
       "      <td>0.870968</td>\n",
       "      <td>81</td>\n",
       "      <td>93.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>景业建设集团有限公司</th>\n",
       "      <td>2.343248e+07</td>\n",
       "      <td>1.940047e+07</td>\n",
       "      <td>1775379.92</td>\n",
       "      <td>15</td>\n",
       "      <td>59.000000</td>\n",
       "      <td>72</td>\n",
       "      <td>2.180556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东恒屹建设工程有限公司</th>\n",
       "      <td>5.168487e+07</td>\n",
       "      <td>4.181083e+07</td>\n",
       "      <td>368726.26</td>\n",
       "      <td>20</td>\n",
       "      <td>43.000000</td>\n",
       "      <td>47</td>\n",
       "      <td>16.085106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东凯斯达建设工程有限公司</th>\n",
       "      <td>6.363090e+07</td>\n",
       "      <td>5.336356e+07</td>\n",
       "      <td>333554.03</td>\n",
       "      <td>15</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>47</td>\n",
       "      <td>10.106383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东越良建筑工程有限公司</th>\n",
       "      <td>4.122442e+07</td>\n",
       "      <td>3.360696e+07</td>\n",
       "      <td>160709.48</td>\n",
       "      <td>12</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>38</td>\n",
       "      <td>11.026316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东鑫越建设工程有限公司</th>\n",
       "      <td>1.068861e+08</td>\n",
       "      <td>8.837192e+07</td>\n",
       "      <td>1374730.79</td>\n",
       "      <td>33</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>34</td>\n",
       "      <td>30.088235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东沿海建设工程有限公司</th>\n",
       "      <td>5.148115e+07</td>\n",
       "      <td>4.073920e+07</td>\n",
       "      <td>1451876.66</td>\n",
       "      <td>19</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>33</td>\n",
       "      <td>14.151515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>海南立洁建设工程有限公司</th>\n",
       "      <td>5.682292e+06</td>\n",
       "      <td>5.001637e+06</td>\n",
       "      <td>1021198.75</td>\n",
       "      <td>8</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>31</td>\n",
       "      <td>0.258065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东创品建筑工程有限公司</th>\n",
       "      <td>1.003200e+08</td>\n",
       "      <td>7.070191e+07</td>\n",
       "      <td>59774170.23</td>\n",
       "      <td>32</td>\n",
       "      <td>26.034483</td>\n",
       "      <td>31</td>\n",
       "      <td>29.133333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东国达建设工程有限公司</th>\n",
       "      <td>1.471190e+07</td>\n",
       "      <td>1.182972e+07</td>\n",
       "      <td>456694.67</td>\n",
       "      <td>2</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>30</td>\n",
       "      <td>0.066667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>深圳荣冠优品工程有限公司</th>\n",
       "      <td>1.584023e+08</td>\n",
       "      <td>1.201781e+08</td>\n",
       "      <td>1419577.40</td>\n",
       "      <td>38</td>\n",
       "      <td>21.054054</td>\n",
       "      <td>26</td>\n",
       "      <td>37.125000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东红利建设工程有限公司</th>\n",
       "      <td>2.701615e+07</td>\n",
       "      <td>2.205412e+07</td>\n",
       "      <td>15071716.42</td>\n",
       "      <td>9</td>\n",
       "      <td>22.125000</td>\n",
       "      <td>25</td>\n",
       "      <td>8.083333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>深圳市广富源建设工程有限公司</th>\n",
       "      <td>1.177942e+08</td>\n",
       "      <td>9.915090e+07</td>\n",
       "      <td>0.00</td>\n",
       "      <td>31</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>24</td>\n",
       "      <td>31.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东晟强建设工程有限公司</th>\n",
       "      <td>1.253742e+08</td>\n",
       "      <td>1.058395e+08</td>\n",
       "      <td>537570.42</td>\n",
       "      <td>36</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>23</td>\n",
       "      <td>34.086957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东广航工程建筑有限公司</th>\n",
       "      <td>3.611857e+06</td>\n",
       "      <td>3.004611e+06</td>\n",
       "      <td>206232.52</td>\n",
       "      <td>3</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>22</td>\n",
       "      <td>0.136364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东建华装饰工程有限公司</th>\n",
       "      <td>1.377969e+08</td>\n",
       "      <td>1.173309e+08</td>\n",
       "      <td>117405.93</td>\n",
       "      <td>34</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>21</td>\n",
       "      <td>33.047619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东中余建设集团有限公司</th>\n",
       "      <td>1.721572e+08</td>\n",
       "      <td>1.445464e+08</td>\n",
       "      <td>797395.31</td>\n",
       "      <td>42</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>21</td>\n",
       "      <td>41.047619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东国优建设有限公司</th>\n",
       "      <td>1.154022e+08</td>\n",
       "      <td>9.932173e+07</td>\n",
       "      <td>232852.48</td>\n",
       "      <td>32</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>21</td>\n",
       "      <td>31.047619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>海南金盛建筑工程有限公司</th>\n",
       "      <td>4.024019e+06</td>\n",
       "      <td>3.593266e+06</td>\n",
       "      <td>1772752.86</td>\n",
       "      <td>10</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>20</td>\n",
       "      <td>0.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东省本江水利建设有限公司</th>\n",
       "      <td>9.315626e+07</td>\n",
       "      <td>7.629543e+07</td>\n",
       "      <td>0.00</td>\n",
       "      <td>27</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>19</td>\n",
       "      <td>27.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      BUDGET    BID_AMOUNT  BINGO_AMOUNT  IS_LOST  \\\n",
       "COMPANY_NAME                                                        \n",
       "广东省中科进出口有限公司    3.727447e+08  3.681475e+08          0.00       12   \n",
       "景业建设集团有限公司      2.343248e+07  1.940047e+07    1775379.92       15   \n",
       "广东恒屹建设工程有限公司    5.168487e+07  4.181083e+07     368726.26       20   \n",
       "广东凯斯达建设工程有限公司   6.363090e+07  5.336356e+07     333554.03       15   \n",
       "广东越良建筑工程有限公司    4.122442e+07  3.360696e+07     160709.48       12   \n",
       "广东鑫越建设工程有限公司    1.068861e+08  8.837192e+07    1374730.79       33   \n",
       "广东沿海建设工程有限公司    5.148115e+07  4.073920e+07    1451876.66       19   \n",
       "海南立洁建设工程有限公司    5.682292e+06  5.001637e+06    1021198.75        8   \n",
       "广东创品建筑工程有限公司    1.003200e+08  7.070191e+07   59774170.23       32   \n",
       "广东国达建设工程有限公司    1.471190e+07  1.182972e+07     456694.67        2   \n",
       "深圳荣冠优品工程有限公司    1.584023e+08  1.201781e+08    1419577.40       38   \n",
       "广东红利建设工程有限公司    2.701615e+07  2.205412e+07   15071716.42        9   \n",
       "深圳市广富源建设工程有限公司  1.177942e+08  9.915090e+07          0.00       31   \n",
       "广东晟强建设工程有限公司    1.253742e+08  1.058395e+08     537570.42       36   \n",
       "广东广航工程建筑有限公司    3.611857e+06  3.004611e+06     206232.52        3   \n",
       "广东建华装饰工程有限公司    1.377969e+08  1.173309e+08     117405.93       34   \n",
       "广东中余建设集团有限公司    1.721572e+08  1.445464e+08     797395.31       42   \n",
       "广东国优建设有限公司      1.154022e+08  9.932173e+07     232852.48       32   \n",
       "海南金盛建筑工程有限公司    4.024019e+06  3.593266e+06    1772752.86       10   \n",
       "广东省本江水利建设有限公司   9.315626e+07  7.629543e+07          0.00       27   \n",
       "\n",
       "                WIN_PRECENT  IS_WIN  BID_COUNT  \n",
       "COMPANY_NAME                                    \n",
       "广东省中科进出口有限公司       0.870968      81  93.000000  \n",
       "景业建设集团有限公司        59.000000      72   2.180556  \n",
       "广东恒屹建设工程有限公司      43.000000      47  16.085106  \n",
       "广东凯斯达建设工程有限公司     42.000000      47  10.106383  \n",
       "广东越良建筑工程有限公司      37.000000      38  11.026316  \n",
       "广东鑫越建设工程有限公司      31.000000      34  30.088235  \n",
       "广东沿海建设工程有限公司      28.000000      33  14.151515  \n",
       "海南立洁建设工程有限公司      23.000000      31   0.258065  \n",
       "广东创品建筑工程有限公司      26.034483      31  29.133333  \n",
       "广东国达建设工程有限公司      28.000000      30   0.066667  \n",
       "深圳荣冠优品工程有限公司      21.054054      26  37.125000  \n",
       "广东红利建设工程有限公司      22.125000      25   8.083333  \n",
       "深圳市广富源建设工程有限公司    24.000000      24  31.000000  \n",
       "广东晟强建设工程有限公司      21.000000      23  34.086957  \n",
       "广东广航工程建筑有限公司      19.000000      22   0.136364  \n",
       "广东建华装饰工程有限公司      20.000000      21  33.047619  \n",
       "广东中余建设集团有限公司      20.000000      21  41.047619  \n",
       "广东国优建设有限公司        20.000000      21  31.047619  \n",
       "海南金盛建筑工程有限公司      10.000000      20   0.500000  \n",
       "广东省本江水利建设有限公司     19.000000      19  27.000000  "
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bidInfoTmp.sort_values('IS_WIN',ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ffa4a0d0",
   "metadata": {},
   "source": [
    "### 中标率 TOP 20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "cf262073",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BUDGET</th>\n",
       "      <th>BID_AMOUNT</th>\n",
       "      <th>BINGO_AMOUNT</th>\n",
       "      <th>IS_LOST</th>\n",
       "      <th>WIN_PRECENT</th>\n",
       "      <th>IS_WIN</th>\n",
       "      <th>BID_COUNT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>COMPANY_NAME</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>景业建设集团有限公司</th>\n",
       "      <td>2.343248e+07</td>\n",
       "      <td>1.940047e+07</td>\n",
       "      <td>1775379.92</td>\n",
       "      <td>15</td>\n",
       "      <td>59.000000</td>\n",
       "      <td>72</td>\n",
       "      <td>2.180556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东恒屹建设工程有限公司</th>\n",
       "      <td>5.168487e+07</td>\n",
       "      <td>4.181083e+07</td>\n",
       "      <td>368726.26</td>\n",
       "      <td>20</td>\n",
       "      <td>43.000000</td>\n",
       "      <td>47</td>\n",
       "      <td>16.085106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东凯斯达建设工程有限公司</th>\n",
       "      <td>6.363090e+07</td>\n",
       "      <td>5.336356e+07</td>\n",
       "      <td>333554.03</td>\n",
       "      <td>15</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>47</td>\n",
       "      <td>10.106383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东越良建筑工程有限公司</th>\n",
       "      <td>4.122442e+07</td>\n",
       "      <td>3.360696e+07</td>\n",
       "      <td>160709.48</td>\n",
       "      <td>12</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>38</td>\n",
       "      <td>11.026316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东鑫越建设工程有限公司</th>\n",
       "      <td>1.068861e+08</td>\n",
       "      <td>8.837192e+07</td>\n",
       "      <td>1374730.79</td>\n",
       "      <td>33</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>34</td>\n",
       "      <td>30.088235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东沿海建设工程有限公司</th>\n",
       "      <td>5.148115e+07</td>\n",
       "      <td>4.073920e+07</td>\n",
       "      <td>1451876.66</td>\n",
       "      <td>19</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>33</td>\n",
       "      <td>14.151515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东国达建设工程有限公司</th>\n",
       "      <td>1.471190e+07</td>\n",
       "      <td>1.182972e+07</td>\n",
       "      <td>456694.67</td>\n",
       "      <td>2</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>30</td>\n",
       "      <td>0.066667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东创品建筑工程有限公司</th>\n",
       "      <td>1.003200e+08</td>\n",
       "      <td>7.070191e+07</td>\n",
       "      <td>59774170.23</td>\n",
       "      <td>32</td>\n",
       "      <td>26.034483</td>\n",
       "      <td>31</td>\n",
       "      <td>29.133333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>深圳市广富源建设工程有限公司</th>\n",
       "      <td>1.177942e+08</td>\n",
       "      <td>9.915090e+07</td>\n",
       "      <td>0.00</td>\n",
       "      <td>31</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>24</td>\n",
       "      <td>31.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>海南立洁建设工程有限公司</th>\n",
       "      <td>5.682292e+06</td>\n",
       "      <td>5.001637e+06</td>\n",
       "      <td>1021198.75</td>\n",
       "      <td>8</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>31</td>\n",
       "      <td>0.258065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东红利建设工程有限公司</th>\n",
       "      <td>2.701615e+07</td>\n",
       "      <td>2.205412e+07</td>\n",
       "      <td>15071716.42</td>\n",
       "      <td>9</td>\n",
       "      <td>22.125000</td>\n",
       "      <td>25</td>\n",
       "      <td>8.083333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>深圳荣冠优品工程有限公司</th>\n",
       "      <td>1.584023e+08</td>\n",
       "      <td>1.201781e+08</td>\n",
       "      <td>1419577.40</td>\n",
       "      <td>38</td>\n",
       "      <td>21.054054</td>\n",
       "      <td>26</td>\n",
       "      <td>37.125000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东晟强建设工程有限公司</th>\n",
       "      <td>1.253742e+08</td>\n",
       "      <td>1.058395e+08</td>\n",
       "      <td>537570.42</td>\n",
       "      <td>36</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>23</td>\n",
       "      <td>34.086957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东建华装饰工程有限公司</th>\n",
       "      <td>1.377969e+08</td>\n",
       "      <td>1.173309e+08</td>\n",
       "      <td>117405.93</td>\n",
       "      <td>34</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>21</td>\n",
       "      <td>33.047619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东中余建设集团有限公司</th>\n",
       "      <td>1.721572e+08</td>\n",
       "      <td>1.445464e+08</td>\n",
       "      <td>797395.31</td>\n",
       "      <td>42</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>21</td>\n",
       "      <td>41.047619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东国优建设有限公司</th>\n",
       "      <td>1.154022e+08</td>\n",
       "      <td>9.932173e+07</td>\n",
       "      <td>232852.48</td>\n",
       "      <td>32</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>21</td>\n",
       "      <td>31.047619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东广航工程建筑有限公司</th>\n",
       "      <td>3.611857e+06</td>\n",
       "      <td>3.004611e+06</td>\n",
       "      <td>206232.52</td>\n",
       "      <td>3</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>22</td>\n",
       "      <td>0.136364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东省本江水利建设有限公司</th>\n",
       "      <td>9.315626e+07</td>\n",
       "      <td>7.629543e+07</td>\n",
       "      <td>0.00</td>\n",
       "      <td>27</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>19</td>\n",
       "      <td>27.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东新港建设有限公司</th>\n",
       "      <td>1.057151e+08</td>\n",
       "      <td>9.269769e+07</td>\n",
       "      <td>779160.69</td>\n",
       "      <td>29</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>19</td>\n",
       "      <td>28.052632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东禾新建设工程有限公司</th>\n",
       "      <td>5.911980e+07</td>\n",
       "      <td>4.945083e+07</td>\n",
       "      <td>0.00</td>\n",
       "      <td>16</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>18</td>\n",
       "      <td>16.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      BUDGET    BID_AMOUNT  BINGO_AMOUNT  IS_LOST  \\\n",
       "COMPANY_NAME                                                        \n",
       "景业建设集团有限公司      2.343248e+07  1.940047e+07    1775379.92       15   \n",
       "广东恒屹建设工程有限公司    5.168487e+07  4.181083e+07     368726.26       20   \n",
       "广东凯斯达建设工程有限公司   6.363090e+07  5.336356e+07     333554.03       15   \n",
       "广东越良建筑工程有限公司    4.122442e+07  3.360696e+07     160709.48       12   \n",
       "广东鑫越建设工程有限公司    1.068861e+08  8.837192e+07    1374730.79       33   \n",
       "广东沿海建设工程有限公司    5.148115e+07  4.073920e+07    1451876.66       19   \n",
       "广东国达建设工程有限公司    1.471190e+07  1.182972e+07     456694.67        2   \n",
       "广东创品建筑工程有限公司    1.003200e+08  7.070191e+07   59774170.23       32   \n",
       "深圳市广富源建设工程有限公司  1.177942e+08  9.915090e+07          0.00       31   \n",
       "海南立洁建设工程有限公司    5.682292e+06  5.001637e+06    1021198.75        8   \n",
       "广东红利建设工程有限公司    2.701615e+07  2.205412e+07   15071716.42        9   \n",
       "深圳荣冠优品工程有限公司    1.584023e+08  1.201781e+08    1419577.40       38   \n",
       "广东晟强建设工程有限公司    1.253742e+08  1.058395e+08     537570.42       36   \n",
       "广东建华装饰工程有限公司    1.377969e+08  1.173309e+08     117405.93       34   \n",
       "广东中余建设集团有限公司    1.721572e+08  1.445464e+08     797395.31       42   \n",
       "广东国优建设有限公司      1.154022e+08  9.932173e+07     232852.48       32   \n",
       "广东广航工程建筑有限公司    3.611857e+06  3.004611e+06     206232.52        3   \n",
       "广东省本江水利建设有限公司   9.315626e+07  7.629543e+07          0.00       27   \n",
       "广东新港建设有限公司      1.057151e+08  9.269769e+07     779160.69       29   \n",
       "广东禾新建设工程有限公司    5.911980e+07  4.945083e+07          0.00       16   \n",
       "\n",
       "                WIN_PRECENT  IS_WIN  BID_COUNT  \n",
       "COMPANY_NAME                                    \n",
       "景业建设集团有限公司        59.000000      72   2.180556  \n",
       "广东恒屹建设工程有限公司      43.000000      47  16.085106  \n",
       "广东凯斯达建设工程有限公司     42.000000      47  10.106383  \n",
       "广东越良建筑工程有限公司      37.000000      38  11.026316  \n",
       "广东鑫越建设工程有限公司      31.000000      34  30.088235  \n",
       "广东沿海建设工程有限公司      28.000000      33  14.151515  \n",
       "广东国达建设工程有限公司      28.000000      30   0.066667  \n",
       "广东创品建筑工程有限公司      26.034483      31  29.133333  \n",
       "深圳市广富源建设工程有限公司    24.000000      24  31.000000  \n",
       "海南立洁建设工程有限公司      23.000000      31   0.258065  \n",
       "广东红利建设工程有限公司      22.125000      25   8.083333  \n",
       "深圳荣冠优品工程有限公司      21.054054      26  37.125000  \n",
       "广东晟强建设工程有限公司      21.000000      23  34.086957  \n",
       "广东建华装饰工程有限公司      20.000000      21  33.047619  \n",
       "广东中余建设集团有限公司      20.000000      21  41.047619  \n",
       "广东国优建设有限公司        20.000000      21  31.047619  \n",
       "广东广航工程建筑有限公司      19.000000      22   0.136364  \n",
       "广东省本江水利建设有限公司     19.000000      19  27.000000  \n",
       "广东新港建设有限公司        18.000000      19  28.052632  \n",
       "广东禾新建设工程有限公司      18.000000      18  16.000000  "
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bidInfoTmp.sort_values('WIN_PRECENT',ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3265f054",
   "metadata": {},
   "source": [
    "### 中标金额 TOP 20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "96a9f09d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BUDGET</th>\n",
       "      <th>BID_AMOUNT</th>\n",
       "      <th>BINGO_AMOUNT</th>\n",
       "      <th>IS_LOST</th>\n",
       "      <th>WIN_PRECENT</th>\n",
       "      <th>IS_WIN</th>\n",
       "      <th>BID_COUNT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>COMPANY_NAME</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>中国移动通信集团广东有限公司</th>\n",
       "      <td>4.697001e+08</td>\n",
       "      <td>4.669104e+08</td>\n",
       "      <td>4.669104e+08</td>\n",
       "      <td>5</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>1</td>\n",
       "      <td>6.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>中国人民解放军国防科技大学</th>\n",
       "      <td>4.000000e+08</td>\n",
       "      <td>3.983800e+08</td>\n",
       "      <td>3.983800e+08</td>\n",
       "      <td>0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>珠海市丹田物业管理股份有限公司</th>\n",
       "      <td>1.855340e+08</td>\n",
       "      <td>1.768986e+08</td>\n",
       "      <td>1.768986e+08</td>\n",
       "      <td>0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东宝泰森建设工程有限公司</th>\n",
       "      <td>1.325490e+08</td>\n",
       "      <td>1.156693e+08</td>\n",
       "      <td>1.156693e+08</td>\n",
       "      <td>9</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>1</td>\n",
       "      <td>10.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东名宇建筑工程有限公司</th>\n",
       "      <td>1.119832e+08</td>\n",
       "      <td>9.779301e+07</td>\n",
       "      <td>9.537722e+07</td>\n",
       "      <td>31</td>\n",
       "      <td>3.031250</td>\n",
       "      <td>4</td>\n",
       "      <td>32.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东品峰建设工程有限公司</th>\n",
       "      <td>1.103022e+08</td>\n",
       "      <td>9.288795e+07</td>\n",
       "      <td>9.047216e+07</td>\n",
       "      <td>30</td>\n",
       "      <td>3.032258</td>\n",
       "      <td>4</td>\n",
       "      <td>31.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东长博建设工程有限公司</th>\n",
       "      <td>1.324755e+08</td>\n",
       "      <td>9.548820e+07</td>\n",
       "      <td>8.875126e+07</td>\n",
       "      <td>34</td>\n",
       "      <td>10.028571</td>\n",
       "      <td>11</td>\n",
       "      <td>35.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东建凯建设有限公司</th>\n",
       "      <td>1.155099e+08</td>\n",
       "      <td>9.600698e+07</td>\n",
       "      <td>8.709145e+07</td>\n",
       "      <td>35</td>\n",
       "      <td>14.029412</td>\n",
       "      <td>17</td>\n",
       "      <td>34.125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>西安微电子技术研究所</th>\n",
       "      <td>8.986000e+07</td>\n",
       "      <td>8.555000e+07</td>\n",
       "      <td>8.555000e+07</td>\n",
       "      <td>2</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>1</td>\n",
       "      <td>3.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>东莞市一建建设工程有限公司</th>\n",
       "      <td>9.658454e+07</td>\n",
       "      <td>8.497313e+07</td>\n",
       "      <td>8.497313e+07</td>\n",
       "      <td>25</td>\n",
       "      <td>0.038462</td>\n",
       "      <td>1</td>\n",
       "      <td>26.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>中国工程物理研究院总体工程研究所</th>\n",
       "      <td>8.500000e+07</td>\n",
       "      <td>8.430000e+07</td>\n",
       "      <td>8.430000e+07</td>\n",
       "      <td>0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东丰豪建设工程有限公司</th>\n",
       "      <td>9.402760e+07</td>\n",
       "      <td>8.162996e+07</td>\n",
       "      <td>7.958087e+07</td>\n",
       "      <td>26</td>\n",
       "      <td>3.037037</td>\n",
       "      <td>4</td>\n",
       "      <td>27.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广州莱硕科技有限公司</th>\n",
       "      <td>8.071200e+07</td>\n",
       "      <td>7.947045e+07</td>\n",
       "      <td>7.947045e+07</td>\n",
       "      <td>27</td>\n",
       "      <td>0.035714</td>\n",
       "      <td>1</td>\n",
       "      <td>28.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东英祥建设工程有限公司</th>\n",
       "      <td>1.310903e+08</td>\n",
       "      <td>7.865883e+07</td>\n",
       "      <td>7.626480e+07</td>\n",
       "      <td>28</td>\n",
       "      <td>4.034483</td>\n",
       "      <td>5</td>\n",
       "      <td>29.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东恒越建设有限公司</th>\n",
       "      <td>9.530247e+07</td>\n",
       "      <td>7.958140e+07</td>\n",
       "      <td>7.568638e+07</td>\n",
       "      <td>28</td>\n",
       "      <td>6.034483</td>\n",
       "      <td>7</td>\n",
       "      <td>29.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>深圳市运道建设有限公司</th>\n",
       "      <td>9.725652e+07</td>\n",
       "      <td>8.014047e+07</td>\n",
       "      <td>7.503962e+07</td>\n",
       "      <td>27</td>\n",
       "      <td>11.035714</td>\n",
       "      <td>12</td>\n",
       "      <td>28.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东泓宇建设有限公司</th>\n",
       "      <td>9.328713e+07</td>\n",
       "      <td>7.658967e+07</td>\n",
       "      <td>7.419564e+07</td>\n",
       "      <td>26</td>\n",
       "      <td>4.037037</td>\n",
       "      <td>5</td>\n",
       "      <td>27.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>北京耐思利普生物科技有限公司</th>\n",
       "      <td>7.310210e+07</td>\n",
       "      <td>7.213000e+07</td>\n",
       "      <td>7.213000e+07</td>\n",
       "      <td>6</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>1</td>\n",
       "      <td>7.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东吴川建筑安装工程有限公司</th>\n",
       "      <td>7.481292e+07</td>\n",
       "      <td>6.328871e+07</td>\n",
       "      <td>6.328871e+07</td>\n",
       "      <td>3</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>1</td>\n",
       "      <td>4.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广州市景兴建筑工程有限公司</th>\n",
       "      <td>1.406243e+08</td>\n",
       "      <td>6.406106e+07</td>\n",
       "      <td>6.250632e+07</td>\n",
       "      <td>24</td>\n",
       "      <td>3.040000</td>\n",
       "      <td>4</td>\n",
       "      <td>25.000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        BUDGET    BID_AMOUNT  BINGO_AMOUNT  IS_LOST  \\\n",
       "COMPANY_NAME                                                          \n",
       "中国移动通信集团广东有限公司    4.697001e+08  4.669104e+08  4.669104e+08        5   \n",
       "中国人民解放军国防科技大学     4.000000e+08  3.983800e+08  3.983800e+08        0   \n",
       "珠海市丹田物业管理股份有限公司   1.855340e+08  1.768986e+08  1.768986e+08        0   \n",
       "广东宝泰森建设工程有限公司     1.325490e+08  1.156693e+08  1.156693e+08        9   \n",
       "广东名宇建筑工程有限公司      1.119832e+08  9.779301e+07  9.537722e+07       31   \n",
       "广东品峰建设工程有限公司      1.103022e+08  9.288795e+07  9.047216e+07       30   \n",
       "广东长博建设工程有限公司      1.324755e+08  9.548820e+07  8.875126e+07       34   \n",
       "广东建凯建设有限公司        1.155099e+08  9.600698e+07  8.709145e+07       35   \n",
       "西安微电子技术研究所        8.986000e+07  8.555000e+07  8.555000e+07        2   \n",
       "东莞市一建建设工程有限公司     9.658454e+07  8.497313e+07  8.497313e+07       25   \n",
       "中国工程物理研究院总体工程研究所  8.500000e+07  8.430000e+07  8.430000e+07        0   \n",
       "广东丰豪建设工程有限公司      9.402760e+07  8.162996e+07  7.958087e+07       26   \n",
       "广州莱硕科技有限公司        8.071200e+07  7.947045e+07  7.947045e+07       27   \n",
       "广东英祥建设工程有限公司      1.310903e+08  7.865883e+07  7.626480e+07       28   \n",
       "广东恒越建设有限公司        9.530247e+07  7.958140e+07  7.568638e+07       28   \n",
       "深圳市运道建设有限公司       9.725652e+07  8.014047e+07  7.503962e+07       27   \n",
       "广东泓宇建设有限公司        9.328713e+07  7.658967e+07  7.419564e+07       26   \n",
       "北京耐思利普生物科技有限公司    7.310210e+07  7.213000e+07  7.213000e+07        6   \n",
       "广东吴川建筑安装工程有限公司    7.481292e+07  6.328871e+07  6.328871e+07        3   \n",
       "广州市景兴建筑工程有限公司     1.406243e+08  6.406106e+07  6.250632e+07       24   \n",
       "\n",
       "                  WIN_PRECENT  IS_WIN  BID_COUNT  \n",
       "COMPANY_NAME                                      \n",
       "中国移动通信集团广东有限公司       0.166667       1      6.000  \n",
       "中国人民解放军国防科技大学        1.000000       1      1.000  \n",
       "珠海市丹田物业管理股份有限公司      1.000000       1      1.000  \n",
       "广东宝泰森建设工程有限公司        0.100000       1     10.000  \n",
       "广东名宇建筑工程有限公司         3.031250       4     32.000  \n",
       "广东品峰建设工程有限公司         3.032258       4     31.000  \n",
       "广东长博建设工程有限公司        10.028571      11     35.000  \n",
       "广东建凯建设有限公司          14.029412      17     34.125  \n",
       "西安微电子技术研究所           0.333333       1      3.000  \n",
       "东莞市一建建设工程有限公司        0.038462       1     26.000  \n",
       "中国工程物理研究院总体工程研究所     1.000000       1      1.000  \n",
       "广东丰豪建设工程有限公司         3.037037       4     27.000  \n",
       "广州莱硕科技有限公司           0.035714       1     28.000  \n",
       "广东英祥建设工程有限公司         4.034483       5     29.000  \n",
       "广东恒越建设有限公司           6.034483       7     29.000  \n",
       "深圳市运道建设有限公司         11.035714      12     28.000  \n",
       "广东泓宇建设有限公司           4.037037       5     27.000  \n",
       "北京耐思利普生物科技有限公司       0.142857       1      7.000  \n",
       "广东吴川建筑安装工程有限公司       0.250000       1      4.000  \n",
       "广州市景兴建筑工程有限公司        3.040000       4     25.000  "
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bidInfoTmp.sort_values('BINGO_AMOUNT',ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "92212461",
   "metadata": {},
   "source": [
    "### 失败 TOP 20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "268f0c23",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BUDGET</th>\n",
       "      <th>BID_AMOUNT</th>\n",
       "      <th>BINGO_AMOUNT</th>\n",
       "      <th>IS_LOST</th>\n",
       "      <th>WIN_PRECENT</th>\n",
       "      <th>IS_WIN</th>\n",
       "      <th>BID_COUNT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>COMPANY_NAME</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>广东中余建设集团有限公司</th>\n",
       "      <td>1.721572e+08</td>\n",
       "      <td>1.445464e+08</td>\n",
       "      <td>797395.31</td>\n",
       "      <td>42</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>21</td>\n",
       "      <td>41.047619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>深圳荣冠优品工程有限公司</th>\n",
       "      <td>1.584023e+08</td>\n",
       "      <td>1.201781e+08</td>\n",
       "      <td>1419577.40</td>\n",
       "      <td>38</td>\n",
       "      <td>21.054054</td>\n",
       "      <td>26</td>\n",
       "      <td>37.125000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东省建筑装饰集团公司</th>\n",
       "      <td>2.124904e+08</td>\n",
       "      <td>1.825935e+08</td>\n",
       "      <td>0.00</td>\n",
       "      <td>37</td>\n",
       "      <td>2.139535</td>\n",
       "      <td>8</td>\n",
       "      <td>43.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东晟强建设工程有限公司</th>\n",
       "      <td>1.253742e+08</td>\n",
       "      <td>1.058395e+08</td>\n",
       "      <td>537570.42</td>\n",
       "      <td>36</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>23</td>\n",
       "      <td>34.086957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东建凯建设有限公司</th>\n",
       "      <td>1.155099e+08</td>\n",
       "      <td>9.600698e+07</td>\n",
       "      <td>87091454.98</td>\n",
       "      <td>35</td>\n",
       "      <td>14.029412</td>\n",
       "      <td>17</td>\n",
       "      <td>34.125000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>深圳市欣和建设工程有限公司</th>\n",
       "      <td>1.902769e+08</td>\n",
       "      <td>8.793615e+07</td>\n",
       "      <td>1037053.25</td>\n",
       "      <td>35</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>11</td>\n",
       "      <td>33.181818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东建华装饰工程有限公司</th>\n",
       "      <td>1.377969e+08</td>\n",
       "      <td>1.173309e+08</td>\n",
       "      <td>117405.93</td>\n",
       "      <td>34</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>21</td>\n",
       "      <td>33.047619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东长博建设工程有限公司</th>\n",
       "      <td>1.324755e+08</td>\n",
       "      <td>9.548820e+07</td>\n",
       "      <td>88751263.99</td>\n",
       "      <td>34</td>\n",
       "      <td>10.028571</td>\n",
       "      <td>11</td>\n",
       "      <td>35.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东鑫越建设工程有限公司</th>\n",
       "      <td>1.068861e+08</td>\n",
       "      <td>8.837192e+07</td>\n",
       "      <td>1374730.79</td>\n",
       "      <td>33</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>34</td>\n",
       "      <td>30.088235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东裕兆丰建设有限公司</th>\n",
       "      <td>1.169446e+08</td>\n",
       "      <td>1.015198e+08</td>\n",
       "      <td>0.00</td>\n",
       "      <td>33</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5</td>\n",
       "      <td>33.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东创品建筑工程有限公司</th>\n",
       "      <td>1.003200e+08</td>\n",
       "      <td>7.070191e+07</td>\n",
       "      <td>59774170.23</td>\n",
       "      <td>32</td>\n",
       "      <td>26.034483</td>\n",
       "      <td>31</td>\n",
       "      <td>29.133333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东国优建设有限公司</th>\n",
       "      <td>1.154022e+08</td>\n",
       "      <td>9.932173e+07</td>\n",
       "      <td>232852.48</td>\n",
       "      <td>32</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>21</td>\n",
       "      <td>31.047619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东宇晟建设工程有限公司</th>\n",
       "      <td>1.131737e+08</td>\n",
       "      <td>9.931284e+07</td>\n",
       "      <td>0.00</td>\n",
       "      <td>32</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4</td>\n",
       "      <td>32.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广州天翔建设工程有限公司</th>\n",
       "      <td>1.408346e+08</td>\n",
       "      <td>1.213537e+08</td>\n",
       "      <td>0.00</td>\n",
       "      <td>32</td>\n",
       "      <td>1.058824</td>\n",
       "      <td>3</td>\n",
       "      <td>34.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东名宇建筑工程有限公司</th>\n",
       "      <td>1.119832e+08</td>\n",
       "      <td>9.779301e+07</td>\n",
       "      <td>95377219.38</td>\n",
       "      <td>31</td>\n",
       "      <td>3.031250</td>\n",
       "      <td>4</td>\n",
       "      <td>32.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>深圳市广富源建设工程有限公司</th>\n",
       "      <td>1.177942e+08</td>\n",
       "      <td>9.915090e+07</td>\n",
       "      <td>0.00</td>\n",
       "      <td>31</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>24</td>\n",
       "      <td>31.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广州市华汕建设工程有限公司</th>\n",
       "      <td>1.099307e+08</td>\n",
       "      <td>9.149996e+07</td>\n",
       "      <td>0.00</td>\n",
       "      <td>31</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>12</td>\n",
       "      <td>31.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东科能工程管理有限公司</th>\n",
       "      <td>1.087032e+08</td>\n",
       "      <td>9.080340e+07</td>\n",
       "      <td>0.00</td>\n",
       "      <td>30</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>6</td>\n",
       "      <td>30.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东兴煌建设工程有限公司</th>\n",
       "      <td>9.996490e+07</td>\n",
       "      <td>8.282930e+07</td>\n",
       "      <td>0.00</td>\n",
       "      <td>30</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>11</td>\n",
       "      <td>30.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>广东品峰建设工程有限公司</th>\n",
       "      <td>1.103022e+08</td>\n",
       "      <td>9.288795e+07</td>\n",
       "      <td>90472156.09</td>\n",
       "      <td>30</td>\n",
       "      <td>3.032258</td>\n",
       "      <td>4</td>\n",
       "      <td>31.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      BUDGET    BID_AMOUNT  BINGO_AMOUNT  IS_LOST  \\\n",
       "COMPANY_NAME                                                        \n",
       "广东中余建设集团有限公司    1.721572e+08  1.445464e+08     797395.31       42   \n",
       "深圳荣冠优品工程有限公司    1.584023e+08  1.201781e+08    1419577.40       38   \n",
       "广东省建筑装饰集团公司     2.124904e+08  1.825935e+08          0.00       37   \n",
       "广东晟强建设工程有限公司    1.253742e+08  1.058395e+08     537570.42       36   \n",
       "广东建凯建设有限公司      1.155099e+08  9.600698e+07   87091454.98       35   \n",
       "深圳市欣和建设工程有限公司   1.902769e+08  8.793615e+07    1037053.25       35   \n",
       "广东建华装饰工程有限公司    1.377969e+08  1.173309e+08     117405.93       34   \n",
       "广东长博建设工程有限公司    1.324755e+08  9.548820e+07   88751263.99       34   \n",
       "广东鑫越建设工程有限公司    1.068861e+08  8.837192e+07    1374730.79       33   \n",
       "广东裕兆丰建设有限公司     1.169446e+08  1.015198e+08          0.00       33   \n",
       "广东创品建筑工程有限公司    1.003200e+08  7.070191e+07   59774170.23       32   \n",
       "广东国优建设有限公司      1.154022e+08  9.932173e+07     232852.48       32   \n",
       "广东宇晟建设工程有限公司    1.131737e+08  9.931284e+07          0.00       32   \n",
       "广州天翔建设工程有限公司    1.408346e+08  1.213537e+08          0.00       32   \n",
       "广东名宇建筑工程有限公司    1.119832e+08  9.779301e+07   95377219.38       31   \n",
       "深圳市广富源建设工程有限公司  1.177942e+08  9.915090e+07          0.00       31   \n",
       "广州市华汕建设工程有限公司   1.099307e+08  9.149996e+07          0.00       31   \n",
       "广东科能工程管理有限公司    1.087032e+08  9.080340e+07          0.00       30   \n",
       "广东兴煌建设工程有限公司    9.996490e+07  8.282930e+07          0.00       30   \n",
       "广东品峰建设工程有限公司    1.103022e+08  9.288795e+07   90472156.09       30   \n",
       "\n",
       "                WIN_PRECENT  IS_WIN  BID_COUNT  \n",
       "COMPANY_NAME                                    \n",
       "广东中余建设集团有限公司      20.000000      21  41.047619  \n",
       "深圳荣冠优品工程有限公司      21.054054      26  37.125000  \n",
       "广东省建筑装饰集团公司        2.139535       8  43.000000  \n",
       "广东晟强建设工程有限公司      21.000000      23  34.086957  \n",
       "广东建凯建设有限公司        14.029412      17  34.125000  \n",
       "深圳市欣和建设工程有限公司      9.000000      11  33.181818  \n",
       "广东建华装饰工程有限公司      20.000000      21  33.047619  \n",
       "广东长博建设工程有限公司      10.028571      11  35.000000  \n",
       "广东鑫越建设工程有限公司      31.000000      34  30.088235  \n",
       "广东裕兆丰建设有限公司        5.000000       5  33.000000  \n",
       "广东创品建筑工程有限公司      26.034483      31  29.133333  \n",
       "广东国优建设有限公司        20.000000      21  31.047619  \n",
       "广东宇晟建设工程有限公司       4.000000       4  32.000000  \n",
       "广州天翔建设工程有限公司       1.058824       3  34.000000  \n",
       "广东名宇建筑工程有限公司       3.031250       4  32.000000  \n",
       "深圳市广富源建设工程有限公司    24.000000      24  31.000000  \n",
       "广州市华汕建设工程有限公司     12.000000      12  31.000000  \n",
       "广东科能工程管理有限公司       6.000000       6  30.000000  \n",
       "广东兴煌建设工程有限公司      11.000000      11  30.000000  \n",
       "广东品峰建设工程有限公司       3.032258       4  31.000000  "
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bidInfoTmp.sort_values('IS_LOST',ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7bc591cb",
   "metadata": {},
   "source": [
    "## 中标次数分段切片"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6bc5428c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "COMPANY_NAME\n",
       "QUANTUM量子科学仪器贸易（北京）有限公司    1\n",
       "三六零数字安全科技集团有限公司            1\n",
       "三合（北京）探测技术有限公司             2\n",
       "三合（广州）探测技术有限公司             0\n",
       "三河市彤越光学科技有限公司              0\n",
       "                          ..\n",
       "黑龙江恒电防雷工程有限公司              2\n",
       "鼎尚（珠海）科技发展有限公司             1\n",
       "鼎熙国讯科技有限公司                 1\n",
       "龙城城市运营服务集团有限公司             0\n",
       "龙达建设（珠海）有限公司               0\n",
       "Name: IS_WIN, Length: 2104, dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bidInfoTmp['IS_WIN']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "7c7e6eff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "IS_WIN\n",
       "(0, 1]       410\n",
       "(1, 2]       101\n",
       "(2, 3]        51\n",
       "(10, 20]      42\n",
       "(3, 4]        39\n",
       "(4, 5]        28\n",
       "(6, 7]        17\n",
       "(5, 6]        14\n",
       "(7, 8]        11\n",
       "(9, 10]       11\n",
       "(20, 30]       9\n",
       "(8, 9]         7\n",
       "(30, 40]       5\n",
       "(40, 50]       2\n",
       "(50, 100]      2\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "level = [0,1,2,3,4,5,6,7,8,9,10,20,30,40,50,100]\n",
    "pd.cut(bidInfoTmp['IS_WIN'],level).value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28f8170a",
   "metadata": {},
   "source": [
    "## 投标次数分段切片"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "211a6612",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "BID_COUNT\n",
       "(0, 1]       1104\n",
       "(1, 2]        348\n",
       "(2, 3]        141\n",
       "(10, 20]      132\n",
       "(3, 4]         81\n",
       "(20, 30]       67\n",
       "(4, 5]         48\n",
       "(5, 6]         39\n",
       "(6, 7]         31\n",
       "(7, 8]         22\n",
       "(9, 10]        20\n",
       "(8, 9]         19\n",
       "(30, 40]       17\n",
       "(40, 50]        2\n",
       "(50, 100]       1\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "level = [0,1,2,3,4,5,6,7,8,9,10,20,30,40,50,100]\n",
    "pd.cut(bidInfoTmp['BID_COUNT'],level).value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "83333ae8",
   "metadata": {},
   "source": [
    "## 预算分段切片"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "31a9960a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "BUDGET\n",
       "(1440000.0, 2000000.0]             220\n",
       "(61100.429000000004, 1440000.0]    213\n",
       "(7202500.0, 12402566.49]           212\n",
       "(51974676.7, 469700100.0]          211\n",
       "(3554600.0, 4650000.0]             210\n",
       "(4650000.0, 7202500.0]             210\n",
       "(12402566.49, 23643296.32]         209\n",
       "(23643296.32, 51974676.7]          209\n",
       "(2000000.0, 2614000.0]             207\n",
       "(2614000.0, 3554600.0]             203\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.qcut(bidInfoTmp['BUDGET'],10).value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "a617cd24",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "BUDGET\n",
       "(2000000, 5000000]        663\n",
       "(1000000, 2000000]        367\n",
       "(5000000, 10000000]       302\n",
       "(10000000, 20000000]      226\n",
       "(50000000, 100000000]     159\n",
       "(20000000, 30000000]      126\n",
       "(30000000, 40000000]       69\n",
       "(40000000, 50000000]       62\n",
       "(100000000, 200000000]     58\n",
       "(500000, 1000000]          47\n",
       "(0, 500000]                19\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "level = [0,500000,1000000,2000000,5000000,10000000,20000000,30000000,40000000,50000000,100000000,200000000]\n",
    "pd.cut(bidInfoTmp['BUDGET'],level).value_counts()"
   ]
  }
 ],
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